I set myself a small challenge: to code in 2 days a French SaaS platform that generates professional photos by training its own AI model in just 2 clicks (yes, yes…) with the latest models while respecting privacy. I'm almost done, but I have
CODE
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Hugging Face Partners with Trufflehog for Secret Detection
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We are partnering with the famous Trufflehog tool from @trufflesecurity to scan all repos on @huggingface for leaked secrets and credentials. You will now receive emails when we detect tokens or secrets inside your commits on the Hub. This is part of our continued work at
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Demo Inspired by LlamaCoder with Credit
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Credit: This demo idea is inspired by LlamaCoder github.com/nutlope/llamacoder [Translated from EN to English]
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Yi-Coder Open-Sourced: Compact LLM for Coding Performance
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🚀 Yi-Coder is open-sourced!
— Yi-01.AI (@01AI_Yi) 5 septembre 2024
The 'Small but Mighty' LLM offers SOTA coding performance under 10B parameters. Excel in code editing, completion, debugging, and math reasoning.
✅ 2 sizes: 9B & 1.5B (Chat & Base)
✅ 128K context length
✅ Support 52 programming languages
Explore… pic.twitter.com/QVscshn6PE🚀 Yi-Coder is open-sourced! The 'Small but Mighty' LLM offers SOTA coding performance under 10B parameters. Excel in code editing, completion, debugging, and math reasoning. ✅ 2 sizes: 9B & 1.5B (Chat & Base) ✅ 128K context length ✅ Support 52 programming languages Explore it now👇 huggingface.co/collections/0… #YiCoder #01AI #LLMs #OpenSource
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Unsloth and Axolotl: Best Fine-Tuning Options Comparison
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Then Unsloth and Axolotl are your best options imo. There's no difference in terms of PEFT/FFT. I think Spectrum is only supported by Axolotl at the moment if you're interested.
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Charlie Mnemonic GoodAI Update: Memory and Conversation Search
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Charlie Mnemonic from GoodAI – update #4 – focus on search in memories and conversations Thanks team
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Unsloth vs Axolotl: Choosing the Right Fine-Tuning Framework
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In general, I'd recommend Unsloth for single-GPU settings and Axolotl for multi-GPU settings. For research, you might want to have more fine-grained control though. TRL works there, but reimplementing it in PyTorch is also a good option for full control.
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MongoDB’s Aggregation Queries: Developer Convenience After 12 Years
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Another developer talked abt the difficulty of queries in some databases. Of MongoDB he said, "I genuinely *love* [@mongdodb's] aggregation queries." When I first joined MongoDB in 2012, convenience/ease was its killer app. 12 years later it's still true (but now with ACID, etc)
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GPT-4o leads code correctness; Claude excels prompt adherence
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Some insights from the leaderboards: CODING We notice that GPT-4o (August 2024) performs the best on Code Correctness among all the models, but Claude outdoes it on Prompt Adherence
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Mistral Large 2 Achieves Top Rankings Across Coding Math Benchmarks
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Mistral Large 2 (mistral-large-2407) also improves on Mistral Large on all leaderboards, and performed quite well: – Coding (#3 behind Claude and GPT-4o)
– Instruction Following (now #6)
– Math (now #8)
– Spanish (now #4 behind GPT-4o May, Gemini 1.5 Pro, and GPT-4o August)