Falcon-40b-instruct is the top performing model on the OpenLLM leaderboard. Built by @TIIuae
, it's free to use for commercial and research use. https://
huggingface.co/spaces/Hugging
FaceH4/open_llm_leaderboard
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LLMS
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Falcon-40b-instruct Tops OpenLLM Leaderboard Rankings
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LLMs Learning to Recognize Knowledge Gaps and Delegate Tasks
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Soon, LLMs will know when they don’t know. They’ll know when to say IDK, or instead ask another ai, or ask a human, or use a different tool, or different knowledge base. This will be a hugely transformative moment.
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Data Science Interview Questions and Answers
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GitHub – youssefHosni/Data-Science-Interview-Questions-Answers: Curated list of data science interview questions and answers
https://bit.ly/42FHnF3 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Appreciation for Different Content Direction from Standard LLM Topics
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Glad to hear that you liked this slight departure from the usual LLM content!
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ChatGPT speeds up development but complicates debugging
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Before Chatgpt Development : 5 hours
Debugging : 3 hours After Chatgpt Development : 5 min
Debugging : 8 hours I hope u have understood : #chatgpt #ai -
Bookmarking Key Papers on Learning and Vision-Language Models
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@chelseabfinn on learning to learn with gradients. I bookmarked it and hope to read it sometime: https://
ai.stanford.edu/~cbfinn/_files
/dissertation.pdf
… Also @karpathy on connecting images and texts, which was ahead of time given current progress in visual language learning: https://
cs.stanford.edu/people/karpath
y/main.pdf
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Comprehensive Survey on Large Language Models Evaluation Methods
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A Survey on Evaluation of Large Language Models A comprehensive survey of evaluation methods for LLMs. Focus on “what, where and how to evaluate”. Also shed light on success and failure cases of LLMs in different tasks, and future challenges. Paper: https://
arxiv.org/abs/2307.03109 -
AI Progress: From Skepticism to Practical Implementation Reality
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Amazing how the ai debate has gone from ‘it doesn’t work, it’s a pipe dream’ a decade ago, to ‘great but it’s not 100% accurate all the time so don’t use it for high stakes tasks’… Just give it a couple more years
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Hyena Convolutional LLMs: Efficient Alternative to Transformers
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Hyena convolutional LLMs look interesting. Not necessarily better but matches the performance more or less. It’s different but more efficient. We will see if this will get more interest vs continuing the transformer route.