Today's issue digs into a growing dilemma for investors: investing in the new gold rush in AI, while avoiding startups competing with their portfolio companies that are breaking into LLMs from the LAST AI gold rush
LLMS
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Startups Rush to Build LLM and Diffusion Model Deployment Stack
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Those same companies have established themselves in the billion-plus club and now eye enabling deployment of LLMs/Diffusion models. But there's a whole NEW gold rush by startups looking to pick off every piece of the language/diffusion model deployment stack.
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Emily discusses differences between traditional and LLM-based chatbots
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Emily reminds people that chatbots that are narrowly defined in general, or pre-programmed, are different from LLM driven chatbots.
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Token input limit discussion for model evaluation
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There is a limit on 2048 token inputs for evaluation, is that what you mean?
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AVIS: Autonomous Visual Information Seeking with Large Language Models
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Today on the blog, read all about AVIS — Autonomous Visual Information Seeking with Large Language Models — a novel method that iteratively employs a planner and reasoner to achieve state-of-the-art results on visual information seeking tasks → https://
goo.gle/3P2y2mY -
Foundation Models Transforming Society Through Advanced AI
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New advancements in AI are transforming many aspects of our society. At the forefront of this development are foundation models. Here, we explain what this technology is and its potential to society:
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The Dark Forest of R&D and Capital Deployment in AI
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The Dark Forest of R&D and Capital Deployment in AI – Michael Dempsey: Blog https://
bit.ly/47pkGIM #AI #MachineLearning #DeepLearning #LLMs #DataScience -
LLMs for Tabular Data: When and Why to Use Them
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In today's #LLM world, where does #tabular data fit in? We have the answers! Check out our in-depth analysis in which we expand upon the #TabLLM paper to better understand when and why you should use LLMs for tabular data tasks. https://
pbase.ai/3E1Ujep -
Patterns for Building LLM-based Systems and Products
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Patterns for Building LLM-based Systems & Products https://
bit.ly/45CdmrF #AI #MachineLearning #DeepLearning #LLMs #DataScience -
NeurIPS 2023 LLM Efficiency Challenge Quickstart Guide
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Interested in the NeurIPS 2023 LLM Efficiency Challenge or just training your custom LLM on 1 GPU? Wrote a new quickstart guide to get started in ~5 min: https://
github.com/Lightning-AI/l
it-gpt/blob/main/tutorials/neurips_challenge_quickstart.md
… If there's interest, also happy to write an article w. research directions to explore. Let me know!