7/ Text-to-SQL Survey – provides a survey on employing LLMs for Text-to-SQL tasks, including prompt engineering techniques, fine-tuning methods, benchmarks, and more.
LLMS
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MINT-1T Open-Sources 1 Trillion Token Multimodal Dataset
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8/ MINT-1T – open-sources a large-scale multimodal interleaved dataset consisting of 1 trillion tokens which has 3.4 billion images; it also includes new sources such as PDFs and ArXiv papers.
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Teaching LLM Agents to Self-Improve Through Iterative Feedback
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6/ Teaching LLM Agents to Self-Improve – claims it is possible to iteratively fine-tune LLMs with the ability to improve their own response over multiple turns with additional environment feedback; the LLM learns to detect and correct its previous mistakes in subsequent
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LazyLLM Dynamic Token Pruning Accelerates LLM Inference by 2.34x
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5/ LazyLLM – introduces a novel dynamic token pruning method for efficient long-context LLM inference; it can accelerate the prefilling stage of a Llama 2 7B model by 2.34x and maintain high accuracy; it selectively computes the KV for tokens that are important for the next token
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AlphaProof Solves IMO Mathematics Problems with Formal Reasoning
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2/ AlphaProof & Alpha Geometry 2 – solved 4 out of 6 problems in this year’s IMO which is the equivalent of a silver-medal score; AlphaProof consists of a Gemini model that automatically translates natural language problem statements into formal statements (i.e., formalizer
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RAG vs Long-Context LLMs: Self-Route Strategy
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3/ RAG vs. Long-Context LLMs – compares RAG and long-context LLMs and finds that long-context LLMs outperform RAG on average performance while RAG is significantly less expensive; proposes Self-Route, leveraging self-reflection to route queries to RAG or LC; reports that
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Lynx: Automated LLM Hallucination Detection Platform
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@PatronusAI recognized the need for an automated LLM evaluation platform to instill confidence in enterprises deploying #GenAI models. Enter Lynx, a hallucination detection model. Trained using LLM Foundry, Mosaic Composer, and the Mosaic Platform https://
dbricks.co/3Yg1Gdp -
Model Quantization Commands and Optimization Techniques
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Thanks @bartowski1182
! Is it possible for you to provide the commands you used to quantize the models? I can't keep up with this pace -
Open Source Vision-Language Models Steadily Advancing
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The state of open source vision-language-models has also been steadily increasing. Exciting!
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Welcome to yobihome: AI and Machine Learning Platform
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Welcome to yobihome https://
bit.ly/3S4LMim
#AI #MachineLearning #DeepLearning #LLMs #DataScience