Excellent work from Stanford showing pre-training can be greatly cost-reduced. It is our collective hope that LLM training can become methodical, scalable, and efficient.
GENERATIVE AI
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Snowflake Acquires Neeva to Enhance Generative AI Search
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There it is, Snowflake says it is acquiring Neeva confirming @theinformation report earlier this month https://
snowflake.com/blog/snowflake
-acquires-neeva-to-accelerate-search-in-the-data-cloud-through-generative-ai/
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Cerebras Wafer-Scale Cluster Simplifies LLM Training
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Large language models are extremely challenging to train. Our latest blog discusses how the Cerebras Wafer-Scale Cluster eliminates the need for huge compute budgets and complex distributed compute techniques. Read how we train models with a few clicks: https://
hubs.li/Q01R433-0 -
Replit AI Panel Discussion with Industry Experts
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Thanks for joining us today! If you still have questions for our panelists, keep them coming and be sure to follow @chipro @amasad @pirroh
! #ReplitAI -
Hugging Face: Critical Infrastructure for AI-Powered Web Evolution
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HF is increasingly a critical part of the AI model development infrastructure, and by extension (because everything will have these language and diffusion models in one way or another) what will go on to be the NEW modern web. (Since web3 is taken we can call it webGPT I guess.)
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Azure AI Studio Expands Model Access Through HuggingFace and OpenAI
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The model catalog allows developers using Azure AI studio to tap models through now both HF and OpenAI, along with other OSS models. HF is also basically the home of every niche and long tail OSS model that you can imagine.
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Hugging Face Strengthens Microsoft Azure Partnership Toward ML GitHub
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Hugging Face has been tying closer with Microsoft/Azure, bit by bit, for the past year. It was valued at $2B last year in a round led by Lux that included Sequoia to be the GitHub of ML. An integration like this shouldn’t go unnoticed, because it gets it closer to that goal.
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Microsoft Integrates Hugging Face Hub in AI Model Deployment Tools
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Yesterday at Build, Microsoft unveiled a suite of tools for developers around deploying AI models. One that might have flown under the radar was a direct integration with the Hugging Face hub right in the middle of its new model catalog
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Groq Spotlight: Large Language Models Inference Discussion
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We had a blast at our booth at ISC. If you missed us, you can catch us tomorrow at our GroqSpotlight: Quenching AI Thirst with Inference. http://
Groq.link/slllm. We'll be discussing the explosion and longevity of Large Language Models (LLMs). -
Steering GPT-2-XL With Activation Vector Techniques
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Curious to learn more about the activation vectors @amasad is talking about at 25:00? https://
alignmentforum.org/posts/5spBue2z
2tw4JuDCx/steering-gpt-2-xl-by-adding-an-activation-vector
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