Build a multi-agent LLM app with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
CODE
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Training GPT-3 equivalent models with FineWeb dataset for $500
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GPT-3 model is GPT-2 but trained for longer (300B) tokens and yes on a better dataset. FineWeb is a good dataset, so you can train your own like this. It will cost ~$500. Use -b 32 -t 2048 instead to use the 2048 GPT-3 context length to be accurate.
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FIM Performance with Instruct Models Unexplored
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I've never tried FIM with an instruct model to be honest, I didn't expect it to work well. Maybe they all do and I didn't know?
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Smaller Models Excel on Specialized Tasks with Quality Data
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70B is general, this one is specifically trained for code tasks. With a smaller model, you can do better on a smaller task scope if you have a ton of great data.
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Fine-tuning LLMs for 2x Faster Inference with Speculative Decoding
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Fine-tuning #LLMs isn't just for customization You can also #finetune LLMs to increase throughput using speculative decoding Check out the replay of our recent tech talk to learn how we fine-tuned an LLM using to increase inference by 2x https://
pbase.ai/4bV6rNc. -
Contributing sampling functions to Keras random module
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Do you want to open a PR? You can definitely add more sampling functions to `keras.random`
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Optimizing batch size and throughput for GPT-3 training
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Okay that's good to know 🙂
I was just following the GPT-3 paper numbers in the table, but like I mentioned it's possible the settings are way too conservative.
Few more things to try: we want to increase the batch size as much as possible to get higher tok/s. Are you using -r 1 -
GPT-4o vs Claude Opus: Code Generation Performance Comparison
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Not sure they're doing the exact same eval, but GPT-4o reports 90.2% vs. 84.9% for Claude 3 Opus on HumanEval (
https://
openai.com/index/hello-gp
t-4o/
…). I don't expect Codestral 22B to be on par, but it can do FIM -
Awesome LLM Apps Repository Open for Contributions
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the GitHub repository to show your support and stay updated with the new updates: https://
github.com/Shubhamsaboo/a
wesome-llm-apps
… Contributions are Welcome If you have any ideas, improvements, or new apps to add, please create a new GitHub Issue or submit a pull request. -
Moving AI from Prototyping to Production with RAG Testing
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How can your organization move beyond AI prototyping to production solutions with confidence?
— DataRobot (@DataRobot) 29 mai 2024
Our new launch brings:
1️⃣ Complete set of testing and evaluation techniques to ensure your RAG workflows are built correctly
2️⃣ Suite of safeguards and intervention methods to keep your… pic.twitter.com/J9308oOSZCHow can your organization move beyond AI prototyping to production solutions with confidence? Our new launch brings: Complete set of testing and evaluation techniques to ensure your RAG workflows are built correctly Suite of safeguards and intervention methods to keep your