loads, fine-tune LLMs, multi-GPU inference, serving multiple LoRAs, evaluate LLMs on your tasks and more.
LLMS
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Groq Powers 25K Custom LinkedIn Rewind Posts with Fast AI
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@hunchtools generated 25K+ custom LinkedIn Rewind posts using AI models Powered by Groq! Fast AI inference is making it easy to wrap up your year's activity, all in your distinct voice and style. Get your 2024 LinkedIn Rewind Powered by Groq
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BERT masked token prediction and LLM next-word prediction clarification
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Hope you are enjoying the book! And thanks for sharing your notes! Btw regarding your nits, I introduced the masked token prediction task of BERT in Fig 1.5 and even refer to BERT-like "LLMs", but you are right, I mostly equate LLMs with "next-word prediction" for simplicity's
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Training LLMs to Outperform Humans in Mathematics
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Now you can train LLMs to be much better than you at math (and get disappointed in yourself even more )
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GH200 H200 H100 GPUs Now Available via Hugging Face Lambda
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You can now get on-demand GH200/ H200/ H100 directly via your @huggingface account, powered by @LambdaAPI What's your excuse to not learn/ practice this holidays?
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Live Call with de Gaulle via AI
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Sur twitch hier j’ai fait un call en direct avec le Général de Gaulle grâce à un logiciel d’intelligence artificielle que j’ai développé en combinant des solutions tierces et custom.
— Defend Intelligence (Anis Ayari) (@DFintelligence) 23 décembre 2024
Absolument rien n’est scripté ni pré-enregistré.
Ce que vous voyez, c’est la vraie latence, et… pic.twitter.com/xI0DcHmcdNYesterday on Twitch, I did a live call with General de Gaulle using an AI software I developed by combining third-party and custom solutions. Nothing is scripted or pre-recorded. What you see is the real latency.
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5 mega-prompts to automate your sales with ChatGPT
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I turned ChatGPT into my personal sales assistant. Now my business earns 10x more on autopilot. Here are the 5 mega-prompts I use every day to automate sales:
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Open Models Exploded in 2024 Despite Upcoming Challenges
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The good news: Open models -exploded- in 2024! We were honored to have @soldni and @sophiamyang break down the incredible year in open models in our latest published pod! The bad news? Incentives, regulation, resource constraints, and many more challenges in 2025. If the
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Using model diversity for better benchmark evaluation
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I think this makes sense mostly for tasks where you think models have relevant non-shared knowledge. E.g. it’d be good for aidanbench tasks where you want as much coherent diversity as possible — models should be more inspired by other models than by copies of themselves
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Sparse Autoencoders Explained for LLM Interpretability
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An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability https://
bit.ly/3ODlDVK
#AI #MachineLearning #DeepLearning #LLMs #DataScience