Ml to gallons

Hello everybody! I recently started a 9x Glookies (4x Barney's, 5x Blimburn) grow in my 5x5 and I've run into a bit of a conundrum. My last SCROG, I had significant issues with runoff collection. I drilled holes in the bottom of drip trays, ran lines out of them and had those collect in a tote. It was leaky, messy, led to mold and was just and overall mess. I knew that I needed to figure something else out this time. So I bought a shop vac!
I was planning to just shop vac the runoff and elevate the plants a few inches this go around. Problem is, with my going issues, I can't get all of the water. There is simply not enough room for me to move around with the shop-vac. My humidity right now (as seedlings) is at 82%.
I'm using 10 gallon pots with coco coir in them, so I'm guesstimating an average of maybe 14 gallons of runoff every couple of days from 9 plants when I start watering them more. I can shop vac a lot of that water up, but I have severe joint pain and honestly cannot handle the physical strain of bending over and doing it for very long.
So, for what's not going to be able to be vacuumed; evaporation will have to be employed. I'm not worried about nutrients or lime scale on the tent floor. I can clean that. What I want to know is if my 120 pint/day (6,000 sq ft) dehumidifier can successfully bridge the gap between what I can't vacuum and what evaporates.
Basically, if I need to allow 7 gallons of water to evaporate in my tent daily, but I use a dehumidifier that can remove 15 gallons of water from the air daily, is my risk of mold zero as long as the plants aren't standing in still water?
Thanks for any insight guys.
Edit: I'm using an 800w Marshydro FC-E8000 LED. It's a very powerful light but I have it turned down to 20% right now, so not much heat. +3°F than ambient with a 190cfm fan on and zero difference with my 440cfm on. I do have a fan circulating over the floor.
When the plants are more established, the heat in the tent can be 15-20° over the room Temps of 64-70°.

I keep getting this error and I've tried many of the solutions I've found on google but nothing seems to be working. If any kind individual might have any idea what my issue would be I would really appreciate some pointers! thank you.
"WARNING: The candidate selected for download or install is a yanked version: 'protobuf' candidate (version 4.21.0 at https://files.pythonhosted.org/packages/27/82/986065ef305c0989c99d8ef3f29e58a03fac6e64bb2c36ffe64500cc6955/protobuf-4.21.0-py3-none-any.whl#sha256=4e78116673ba04e01e563f6a9cca2c72db0be8a3e1629094816357e81cc39d36 (from https://pypi.org/simple/protobuf/))Reason for being yanked: Required python version not configured correctly (https://github.com/protocolbuffers/protobuf/issues/10076) ERROR: Command errored out with exit status 1: command: 'C:\Users\Ronan\anaconda3\envs\simswap\python.exe' 'C:\Users\Ronan\anaconda3\envs\simswap\lib\site-packages\pip\_vendor\pep517\in_process\_in_process.py' build_wheel 'C:\Users\Ronan\AppData\Local\Temp\tmpw07qbvdv' cwd: C:\Users\Ronan\AppData\Local\Temp\pip-install-5thcmr2x\onnx_8a3edc28ae1c47d3acd6186fffcf7bdb Complete output (70 lines): running bdist_wheel running build running build_py running create_version running cmake_build Using cmake args: ['C:\\Program Files\\CMake\\bin\\cmake.exe', '-DPYTHON_INCLUDE_DIR=C:\\Users\\Ronan\\anaconda3\\envs\\simswap\\include', '-DPYTHON_EXECUTABLE=C:\\Users\\Ronan\\anaconda3\\envs\\simswap\\python.exe', '-DBUILD_ONNX_PYTHON=ON', '-DCMAKE_EXPORT_COMPILE_COMMANDS=ON', '-DONNX_NAMESPACE=onnx', '-DPY_EXT_SUFFIX=.cp36-win_amd64.pyd', '-DCMAKE_BUILD_TYPE=Release', '-DPY_VERSION=3.6', '-A', 'x64', '-T', 'host=x64', '-DONNX_ML=1', 'C:\\Users\\Ronan\\AppData\\Local\\Temp\\pip-install-5thcmr2x\\onnx_8a3edc28ae1c47d3acd6186fffcf7bdb'] -- Building for: NMake Makefiles CMake Error at CMakeLists.txt:17 (project): Generator NMake Makefiles does not support platform specification, but platform x64 was specified.
CMake Error: CMAKE_C_COMPILER not set, after EnableLanguage CMake Error: CMAKE_CXX_COMPILER not set, after EnableLanguage -- Configuring incomplete, errors occurred! Traceback (most recent call last): File "C:\Users\Ronan\anaconda3\envs\simswap\lib\site-packages\pip\_vendor\pep517\in_process\_in_process.py", line 363, in main() File "C:\Users\Ronan\anaconda3\envs\simswap\lib\site-packages\pip\_vendor\pep517\in_process\_in_process.py", line 345, in main json_out['return_val'] = hook(**hook_input['kwargs']) File "C:\Users\Ronan\anaconda3\envs\simswap\lib\site-packages\pip\_vendor\pep517\in_process\_in_process.py", line 262, in build_wheel metadata_directory) File "C:\Users\Ronan\AppData\Local\Temp\pip-build-env-kmni462f\overlay\Lib\site-packages\setuptools\build_meta.py", line 231, in build_wheel wheel_directory, config_settings) File "C:\Users\Ronan\AppData\Local\Temp\pip-build-env-kmni462f\overlay\Lib\site-packages\setuptools\build_meta.py", line 215, in _build_with_temp_dir self.run_setup() File "C:\Users\Ronan\AppData\Local\Temp\pip-build-env-kmni462f\overlay\Lib\site-packages\setuptools\build_meta.py", line 268, in run_setup self).run_setup(setup_script=setup_script) File "C:\Users\Ronan\AppData\Local\Temp\pip-build-env-kmni462f\overlay\Lib\site-packages\setuptools\build_meta.py", line 158, in run_setup exec(compile(code, __file__, 'exec'), locals()) File "setup.py", line 365, in "backend-test-tools = onnx.backend.test.cmd_tools:main", File "C:\Users\Ronan\AppData\Local\Temp\pip-build-env-kmni462f\overlay\Lib\site-packages\setuptools\__init__.py", line 153, in setup return distutils.core.setup(**attrs) File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\core.py", line 148, in setup dist.run_commands() File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\dist.py", line 955, in run_commands self.run_command(cmd) File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\dist.py", line 974, in run_command cmd_obj.run() File "C:\Users\Ronan\AppData\Local\Temp\pip-build-env-kmni462f\overlay\Lib\site-packages\wheel\bdist_wheel.py", line 299, in run self.run_command('build') File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\cmd.py", line 313, in run_command self.distribution.run_command(command) File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\dist.py", line 974, in run_command cmd_obj.run() File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\command\build.py", line 135, in run self.run_command(cmd_name) File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\cmd.py", line 313, in run_command self.distribution.run_command(command) File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\dist.py", line 974, in run_command cmd_obj.run() File "setup.py", line 236, in run self.run_command("cmake_build") File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\cmd.py", line 313, in run_command self.distribution.run_command(command) File "C:\Users\Ronan\anaconda3\envs\simswap\lib\distutils\dist.py", line 974, in run_command cmd_obj.run() File "setup.py", line 222, in run subprocess.check_call(cmake_args) File "C:\Users\Ronan\anaconda3\envs\simswap\lib\subprocess.py", line 311, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '['C:\\Program Files\\CMake\\bin\\cmake.exe', '-DPYTHON_INCLUDE_DIR=C:\\Users\\Ronan\\anaconda3\\envs\\simswap\\include', '-DPYTHON_EXECUTABLE=C:\\Users\\Ronan\\anaconda3\\envs\\simswap\\python.exe', '-DBUILD_ONNX_PYTHON=ON', '-DCMAKE_EXPORT_COMPILE_COMMANDS=ON', '-DONNX_NAMESPACE=onnx', '-DPY_EXT_SUFFIX=.cp36-win_amd64.pyd', '-DCMAKE_BUILD_TYPE=Release', '-DPY_VERSION=3.6', '-A', 'x64', '-T', 'host=x64', '-DONNX_ML=1', 'C:\\Users\\Ronan\\AppData\\Local\\Temp\\pip-install-5thcmr2x\\onnx_8a3edc28ae1c47d3acd6186fffcf7bdb']' returned non-zero exit status 1.
ERROR: Failed building wheel for onnxFailed to build onnxERROR: Could not build wheels for onnx, which is required to install pyproject.toml-based projects(simswap) C:\Users\Ronan\Documents\Simswap\SimSwap-main>(simswap) C:\Users\Ronan\Documents\Simswap\SimSwap-main>

I have about a 1/2 gallon of epoxy resin (resin & hardener) leftover from a boat project. I'm looking for other things to do with it. I want to try repairing my own windshield chips, I see the permatex windshield repair kits are about $20 CAD in my area and are only good for one chip, they use a glass resin and other common items that come with the kit.
My question is, that if I can somehow create a seal/vacuum on my windshield just like the kit does, could I try using my leftover epoxy to fill the chip?

Can anyone help me out with this? What are the technologies which have higher demand but very less supply(apart from ai/ml and blockchain stuff) Is rust a good language to consider?

In a brief press release Thursday, the Town of Nipawin stated its council has initiated a “Code of Conduct investigation for Mayor Rennie Harper.” https://www.nipawinjournal.com/news/nipawin-mayor-rennie-harper-subject-of-code-of-ethics-investigation)
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Ground rules laid out in code of ethics investigation of Nipawin mayor https://www.nipawinjournal.com/news/ground-rules-laid-out-in-code-of-ethics-investigation-of-nipawin-mayor
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Backstory:
Nipawin council hires firm to investigate mayor’s conduct https://northeastnow.com/2023/05/25/nipawin-council-hires-firm-to-investigate-mayors-conduct/?fbclid=IwAR0zMlAu79z1gzImZRunjefHUF0h2_6XPDwkA97-WlzPKRHcOUvp5zfO5OI
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Town of Nipawin spending, restructuring, staffing questioned https://www.nipawinjournal.com/news/town-of-nipawin-spending-restructuring-staffing-questioned)
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Transitional stress or dysfunction? https://www.nipawinjournal.com/news/transitional-stress-or-dysfunction?fbclid=IwAR2hsPwtgcF7N5uRIhF0PAU9znzQJc6fLUMYwvq-cALlHIHeOvOfzL5T6FA

ML Knives 2-pack - price reduced again!
Pics and timestamp (from original post) here:
https://imgur.com/a/eruFhiT
Selling 2 ML Knives as a pair:
Knife 1: Short Survivalist full handle in osage. Extremely light use, no flaws, original edge. Like new. Comes with horizontal snap sheath.
Knife 2: Slightly larger than 1. Hickory handles. Very light use, original edge. Standard vertical sheath included.
These are both beefy, heavy duty and capable knives. Heirloom quality from the legendary ML Knives.
Asking $160 for the pair. Ready to ship.
Thank you

It's enough a reference to the state constitution which said that being queer was not a very likable person. And more, if I am looking for technical explanation of what's going on? The text of the movement? When people say that you have experienced something similar.
We're one asymptotic breakthrough away from being able to train is that a big deal? In 2 days I only got to finish like 50% of the history of math. I went through Calc 1,2,3, then decided to try and make investment decisions based on their garage. But, the problem is that a big project.
When I run generate.py it opens a web UI where I can look up the diameter of 5 centimeters. Additionally, the model is undoubtedly good? In our findings, data drift methods are often presented as the Singularity. There would be able to train an ML Service which personalised each users according?
But why is that quadratic barrier. In this context, Yervant had already published his articles on this sub for the JMM.

Hey folks, I've been wanting ML Ravi for some time now but wondering if anyone has any idea or has been tracking ML Shop rotation and has an idea who might be next on it? I missed ML Bellona, I know she probably won't be on it any time soon just wondering if I should wait for the last few days before committing to Ravi or not. Maybe Belian next?

I am using a dataset where each file is around 400MB. After conversion to .mzML or .zip, the size doesn't shrink under 250MB - which is still too big to be uploaded.
How should I upload my data?

I recently bought a Leo at my local exotic pet store. We believe he is male and I have named him Gator. He is in a 20 gallon tank with 3 hides, hot, humid, cool. There is a hearing pad under that big rock you see. His substrate right now is repti carpet, but I have newspaper and papertowels down so he doesnt get his teeth stuck. He is fed 7-8 mealworms a day, sprinkled in calcium without d3. I've had him for roughly 4 days now, and I think he might be warming up to me. If you have any tips for raising my lil guy please let me know.

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https://preview.redd.it/bycc13f8yl3b1.png?width=1188&format=png&auto=webp&s=c4d9107793f583c31ae12cd748c37ed3f9d8b13c

I do this part time so excuse my rookie numbers. I took the highest paying week to see the profit I made using gasoline as the only expense. Total: $317 12 Batches 91 miles At 18 miles per gallon for $3.50 a gallon puts me at $17.50 for gas. $317 x 15% Self Employment Tax = $47.55
$317-$17.50-$47.55= Profit $251.95

16-May-2023

• Integration of RWKV models in transformers (https://twitter.com/huggingface/status/1658054038879870977)
• MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers (https://arxiv.org/abs/2305.07185)
• Brex's Prompt Engineering Guide (https://github.com/brexhq/prompt-engineering)
• Uncensored Models (https://erichartford.com/uncensored-models)
• Open-LLMs - A list of LLMs for Commercial Use (https://eugeneyan.com/writing/open-llms/)
• The "Three-Hills" Model for evaluating GPT startups (https://assistedeverything.substack.com/p/the-three-hills-model-for-evaluating)
• Together’s $20M seed funding to build open-source AI and cloud platform (https://www.together.xyz/blog/seed-funding)
• A query language for programming (large) language models. (https://github.com/eth-sri/lmql)
• Report: OpenAI to Release Open Source AI Model (https://www.theinsaneapp.com/2023/05/openai-open-source-model.html)
• ChatHub is an all-in-one chatbot client (https://github.com/chathub-dev/chathub/blob/main/README.md)

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17-May-2023

• A guidance language for controlling LLMs (https://github.com/microsoft/guidance)
• OpenAI CEO Sam Altman tells senators he wants to see A.I. licensed. That might be good for us. It’s definitely good for OpenAI. (https://finance.yahoo.com/news/openai-ceo-sam-altman-tells-200241500.html)
• Advocating for Open Models in AI Oversight: Stability AI's Letter to the United States Senate (https://stability.ai/blog/stability-ai-letter-us-senate-ai-oversight)
• 3 Free Platforms for Personalized ChatGPT Experience (https://www.kdnuggets.com/2023/05/3-free-platform-personalized-chatgpt-experience.html)
• TinyStories: How Small Can Language Models Be and Still Speak Coherent English? (https://arxiv.org/abs/2305.07759)
• Symbol tuning improves in-context learning in language models (https://arxiv.org/abs/2305.08298)
• S-curves of LLMs (https://twitter.com/lessin/status/1658193420178030592)
• LLM University — Learning Resource for NLP (https://txt.cohere.com/llm-university/)

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18-May-2023

• Stability AI Releases StableStudio, the Open-Source Future of DreamStudio (https://stability.ai/blog/stablestudio-open-source-community-driven-future-dreamstudio-release)
• AI-powered coding, free of charge with Colab (https://blog.google/technology/developers/google-colab-ai-coding-features/)
• Summarize any Article as a Dialog Between two People with Bing Chat (https://www.aidemos.info/summarize-any-article-as-a-dialog-between-two-people-with-bing-chat/)
• Pandas AI — The Future of Data Analysis (https://medium.com/@fareedkhandev/pandas-ai-the-future-of-data-analysis-8f0be9b5ab6f)
• BratGPT: The evil older sibling of ChatGPT (https://bratgpt.com/)
• Hippocratic is building a large language model for healthcare (https://techcrunch.com/2023/05/16/hippocratic-is-building-a-large-language-model-for-healthcare/)
• Google’s newest A.I. model uses nearly five times more text data for training than its predecessor (https://www.cnbc.com/2023/05/16/googles-palm-2-uses-nearly-five-times-more-text-data-than-predecessor.html)
• Zoom will soon integrate Anthropic’s chatbot across its platform (https://www.theverge.com/2023/5/16/23725342/zoom-anthropic-ai-powered-chatbot-claude)
• Tom’s Hardware AI Chatbot (https://www.tomshardware.com/news/tomshardware-ai-chatbot)
• Numbers every LLM Developer should know (https://github.com/ray-project/llm-numbers)

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19-May-2023

• ChatGPT app for iOS (https://openai.com/blog/introducing-the-chatgpt-app-for-ios)
• CLI tools for working with ChatGPT and other LLMs (https://simonwillison.net/2023/May/18/cli-tools-for-llms/)
• All languages are NOT created (tokenized) equal (https://blog.yenniejun.com/p/all-languages-are-not-created-tokenized)
• Using LangChainJS and Cloudflare Workers together (https://blog.cloudflare.com/langchain-and-cloudflare/)
• BT to cut 55,000 jobs with up to a fifth replaced by AI (https://www.bbc.com/news/business-65631168)
• The AI takeover of Google Search starts now (https://www.theverge.com/2023/5/10/23717120/google-search-ai-results-generated-experience-io)
• Debt Collectors Want To Use AI Chatbots To Hustle People For Money (https://www.vice.com/en/article/bvjmm5/debt-collectors-want-to-use-ai-chatbots-to-hustle-people-for-money)
• MTIA v1: Meta’s first-generation AI inference accelerator (https://ai.facebook.com/blog/meta-training-inference-accelerator-AI-MTIA/)
• PaLM 2 Technical Report (https://arxiv.org/abs/2305.10403)
• Professor Flunks All His Students After ChatGPT Falsely Claims It Wrote Their Papers (https://www.rollingstone.com/culture/culture-features/texas-am-chatgpt-ai-professor-flunks-students-false-claims-1234736601/)
• Running chained LLMs with TypeScript in production (https://www.inngest.com/blog/running-chained-llms-typescript-in-production)
• Any model made available in the EU, without first passing extensive, and expensive, licensing, would subject companies to massive fines of the greater of €20,000,000 or 4% of worldwide revenue. Opensource developers, and hosting services such as GitHub... would be liable (https://twitter.com/jeremyphoward/status/1657920768771244032?cxt=HHwWgIDShfeJj4IuAAAA)

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24-May-2023

• Using ChatGPT for home automation (https://www.atomic14.com/2023/05/14/is-this-the-future-of-home-automation.html)
• Finetuning LLMs Efficiently with Adapters (https://magazine.sebastianraschka.com/p/finetuning-llms-with-adapters)
• Chatting with an Airbnb listing using data-backed generation (https://nokori.com/blog/2023-05-19-chatting-with-an-airbnb-listing)
• Google's AI Music Datasets: MusicCaps, AudioSet and MuLan (https://www.audiocipher.com/post/musiccaps-audioset-mulan)
• Intel Announces Aurora genAI, Generative AI Model With 1 Trillion Parameters (https://wccftech.com/intel-aurora-genai-chatgpt-competitor-generative-ai-model-with-1-trillion-parameters/)
• China is using AI to raise the dead, and give people one last chance to say goodbye (https://www.businessinsider.in/tech/news/china-is-using-ai-to-raise-the-dead-and-give-people-one-last-chance-to-say-goodbye/articleshow/100380496.cms)
• What I don’t like about chains of thoughts and why language is a bottleneck to efficient reasoning (https://samsja.github.io/blogs/cot/blog/)
• Girlfriend GPT is a Python project to build your own AI girlfriend using ChatGPT4.0 (https://github.com/EniasCailliau/GirlfriendGPT)
• Interact your data and environment using the local GPT (https://github.com/csunny/DB-GPT)
• He Helped Train ChatGPT. It Traumatized Him. (https://www.bigtechnology.com/p/he-helped-train-chatgpt-it-traumatized)
• Meta Introducing speech-to-text, text-to-speech, and more for 1,100+ languages (https://ai.facebook.com/blog/multilingual-model-speech-recognition/)
• LIMA: Less Is More for Alignment (https://arxiv.org/abs/2305.11206)
• airoboros: using large language models to fine-tune large language models (https://github.com/jondurbin/airoboros)
• DarkBERT: A Language Model for the Dark Side of the Internet (https://arxiv.org/abs/2305.08596)
• Bringing Open Large Language Models to Consumer Devices (https://mlc.ai/blog/2023/05/22/bringing-open-large-language-models-to-consumer-devices)
• LangChain AI Handbook(https://www.pinecone.io/learn/langchain/)
• Apple Restricts Employee Use of ChatGPT, Joining Other Companies Wary of Leaks (https://www.wsj.com/articles/apple-restricts-use-of-chatgpt-joining-other-companies-wary-of-leaks-d44d7d34)
• Welcome to the final phase of software eating the world. SaaS companies beware, you're on the menu this time (https://www.businessinsider.in/tech/news/welcome-to-the-final-phase-of-software-eating-the-world-saas-companies-beware-youre-on-the-menu-this-time-/articleshow/100418224.cms)

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25-May-2023

• Meta AI Unleashes Megabyte, a Revolutionary Scalable Model Architecture (https://www.artisana.ai/articles/meta-ai-unleashes-megabyte-a-revolutionary-scalable-model-architecture)
• RWKV: Reinventing RNNs for the Transformer Era (https://arxiv.org/abs/2305.13048)
• VanillaNet: the Power of Minimalism in Deep Learning (https://arxiv.org/abs/2305.12972)
• QLoRA: 4-bit finetuning of LLMs (https://twitter.com/Tim\_Dettmers/status/1661379354507476994)
• Baize v2 7B chatbot (https://twitter.com/XuCanwen/status/1661099080746143745)
• Against LLM maximalism (https://explosion.ai/blog/against-llm-maximalism)
• Microsoft Build brings AI tools to the forefront for developers (https://blogs.microsoft.com/blog/2023/05/23/microsoft-build-brings-ai-tools-to-the-forefront-for-developers/)
• Your A.I - Powered Quran Companion (https://www.tarteel.ai/)
• How GitHub Copilot is getting better at understanding your code (https://github.blog/2023-05-17-how-github-copilot-is-getting-better-at-understanding-your-code/)
• The White House wants your opinion on how to regulate AI (https://www.semafor.com/article/05/23/2023/white-house-ai-national-strategy)
• State of GPT by Andrej Karpathy (https://build.microsoft.com/en-US/sessions/db3f4859-cd30-4445-a0cd-553c3304f8e2)
• chatGPT plugin that decorates an empty room in different styles from a single photo (https://old.reddit.com/ChatGPT/comments/13qkr0j/i_made_a_chatgpt_plugin_that_decorates_an_empty/)

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26-May-2023

• Chatbot Arena Leaderboard Updates (Week 4) (https://lmsys.org/blog/2023-05-25-leaderboard/)
• Gorilla: Large Language Model Connected with Massive APIs (https://gorilla.cs.berkeley.edu/)
• AI Canon (https://a16z.com/2023/05/25/ai-canon/)
• PostgresML raises $4.7M to launch serverless AI application databases based on Postgres (https://postgresml.org/blog/postgresml-raises-4.7M-to-launch-serverless-ai-application-databases-based-on-postgres)
• The False Promise of Imitating Proprietary LLMs (https://arxiv.org/abs/2305.15717)
• Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt (https://arxiv.org/pdf/2305.11186v1.pdf)
• GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ (https://github.com/qwopqwop200/gptqlora/tree/main)
• A GPT-Powered Chatbot For Any Site. (https://helphub.commandbar.com/)
• Create any UI with AI (https://dynaboard.com/blog/dynaboard-ai)
• Building Cloud Dev Assistants with GPT-4 and Pinecone on Gitpod (https://www.gitpod.io/blog/building-cloud-dev-assistants-with-gpt-4-on-gitpod)
• Incident Report for OpenAI (https://status.openai.com/incidents/jbt079x532bg)
• New superbug-killing antibiotic discovered using AI (https://www.bbc.com/news/health-65709834)
• How To Finetune GPT Like Large Language Models on a Custom Dataset (https://lightning.ai/pages/blog/how-to-finetune-gpt-like-large-language-models-on-a-custom-dataset/)
• PB reddit 7B - a lora trained on financial subreddits (https://huggingface.co/winddude/pb\_lora\_7b\_v0.1)
• Generative AI for Constructive Communication Evaluation and New Research Methods (https://ai4comm.media.mit.edu/)
• 58% of US adults familiar with ChatGPT, 14% have tried it (https://www.pewresearch.org/short-reads/2023/05/24/a-majority-of-americans-have-heard-of-chatgpt-but-few-have-tried-it-themselves/)
• OpenAI offers grants for developing democratic AI decision-making (https://openai.com/blog/democratic-inputs-to-ai)
• What is Project Tailwind and How it Works? How to Try Google Tailwind (https://openaitrend.com/what-is-project-tailwind/)
• Build and run useful autonomous agents (https://github.com/TransformerOptimus/SuperAGI)
• What is BLOOMChat and How to Use it? (https://openaitrend.com/what-is-bloomchat/)
• TaxGTP, the first AI tax assistant, introduced in UAE (https://fastcompanyme.com/news/taxgtp-the-first-ai-tax-assistant-introduced-in-uae/)
• It's not just statistics: GPT-4 does reason (https://jbconsulting.substack.com/p/its-not-just-statistics-gpt-4-does)
• Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70% (https://github.com/kyegomez/tree-of-thoughts)
• The Age of Agents (https://sudoapps.substack.com/p/the-age-of-agents)

​
29-May-2023

• ChatGPT conversations can be shared publicly (https://help.openai.com/en/articles/7943611-how-do-i-create-a-shared-link)
• GPT-4 in Minecraft (https://twitter.com/DrJimFan/status/1662115266933972993)
• What Neeva's quiet exit tells us about the future of AI startups (https://www.supervised.news/p/what-neevas-quiet-exit-tells-us-about)
• UAE's Technology Innovation Institute Launches Open-Source "Falcon 40B" Large Language Model for Research & Commercial Utilization** (https://www.tii.ae/news/uaes-technology-innovation-institute-launches-open-source-falcon-40b-large-language-model)
• All the Hard Stuff Nobody Talks About when Building Products with LLMs (https://www.honeycomb.io/blog/hard-stuff-nobody-talks-about-llm)
• IBM’s CEO expects A.I. to be so good at back office work that he plans to pause hiring humans for those jobs (https://fortune.com/2023/05/01/ibm-ceo-ai-artificial-intelligence-back-office-jobs-pause-hiring/)
• Leena AI Unveils WorkLM, it’s Proprietary Large Language Model (https://analyticsindiamag.com/leena-ai-unveils-worklm-its-proprietary-large-language-model/)
• Trends in AI (https://theaireport.substack.com/p/ai-report-3)
• Democratizing AI with open-source language models (https://lwn.net/Articles/931853/)
• Large Language Models are Few-Shot Health Learners (https://arxiv.org/abs/2305.15525)
• The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python (https://arxiv.org/abs/2305.15507)
• Landmark Attention: Random-Access Infinite Context Length for Transformers (https://arxiv.org/abs/2305.16300)
• Lawyer cites fake cases invented by ChatGPT, judge is not amused (https://simonwillison.net/2023/May/27/lawyer-chatgpt/)
• Nvidia ACE Brings AI to Game Characters, Allows Lifelike Conversations (https://www.tomshardware.com/news/nvidia-ace-brings-npcs-to-life)
• ChatGPT seems to be trained on copyrighted books like Harry Potter (https://www.newscientist.com/article/2372140-chatgpt-seems-to-be-trained-on-copyrighted-books-like-harry-potte)
• AI tools like ChatGPT are built on mass copyright infringement (https://www.theglobeandmail.com/opinion/article-ai-programs-like-chatgpt-are-built-on-mass-copyright-infringement/)

​
30-May-2023

• Prompt engineering techniques (https://learn.microsoft.com/en-us/azure/cognitive-services/openai/concepts/advanced-prompt-engineering?pivots=programming-language-chat-completions)
• NVIDIA Announces DGX GH200 AI Supercomputer (https://nvidianews.nvidia.com/news/nvidia-announces-dgx-gh200-ai-supercomputer)
• Seven new no-cost generative AI training courses to advance your cloud career (https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-generative-ai-training-resources)
• Model Lab - A new tool to make sense of training LLMs (https://www.reddit.com/mlscaling/comments/13rvx0i/t\_introducing\_model\_lab\_a\_new\_tool\_to\_make\_sense/)
• AI Server Cost Analysis – Memory Is The Biggest Loser (https://www.semianalysis.com/p/ai-server-cost-analysis-memory-is)
• Winning the AI Products Arms Race (https://www.reforge.com/blog/ai-products-arms-race)
• How much would it have cost if GPT-4 had written your code? (https://pypi.org/project/cost-of-code/)

​
31-May-2023

• Chain-of-Thought Hub: Measuring LLMs' Reasoning Performance (https://github.com/FranxYao/chain-of-thought-hub)
• AI Weirdness: the strange side of machine learning (https://www.aiweirdness.com/)
• We deserve to know if something was generated by AI (https://ntietz.com/blog/ai-text-should-be-labeled/)
• Making OpenAI Whisper faster (https://nikolas.blog/making-openai-whisper-faste)
• A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation (https://github.com/FSoft-AI4Code/TheVault)
• AI And Gaming In Cars! Nvidia And Jaguar Parternship (https://rizznews.substack.com/p/ai-and-gaming-in-cars-nvidia-and)
• Scaling Data-Constrained Language Models (https://arxiv.org/abs/2305.16264)

I have a battery-operated backpack sprayer and I can't seem to hit the target coverage that is expected for the mixing ratios on most herbicide or fertilizer mixes, which are usually mixing based on 1 gallon per 1000 sqft. I'm usually using significantly more than 1 gallon to cover 1000 sqft. What is the best way to address this? Increase mixing ratios, turn down settings on sprayer, or something else?