4/ Exploiting Novel GPT-4 APIs – performs red-teaming on three functionalities exposed in the GPT-4 APIs: fine-tuning, function calling, and knowledge retrieval.
@dair_ai
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PromptBench: Unified LLM Evaluation and Prompt Engineering Library
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3/ PromptBench – a unified library that supports comprehensive evaluation and analysis of LLMs; it consists of functionalities for prompt construction, prompt engineering, dataset and model loading, adversarial prompt attack, and more.
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Survey of 300+ Papers: Generative AI from Gemini to Q-Star
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2/ From Gemini to Q-Star – surveys 300+ papers and summarizes research developments to look at in the space of Generative AI; it covers computational challenges, scalability, real-world implications, and more.
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Pearl: Production-Ready RL Agent Software Package Released
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9/ Pearl – introduces a new production-ready RL agent software package that enables researchers and practitioners to develop RL AI agents that adapt to environments with limited observability, sparse feedback, and high stochasticity.
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Quip: 2-Bit Quantization for Large Language Models
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10/ Quip – compresses trained model weights into a lower precision format; combines lattice codebooks with incoherence processing to create 2 bit quantized models; significantly closes the gap between 2 bit quantized LLMs and unquantized 16 bit models.
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Self-Training LLMs: Reducing Dependence on Human-Generated Data
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7/ Beyond Human Data for LLMs – an approach for self-training with feedback that substantially reduces dependence on human-generated data; the model-generated data combined with a reward function improves the performance of LLMs on problem-solving tasks.
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Gaussian-SLAM: Neural RGBD Method for Photorealistic Scene Reconstruction
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8/ Gaussian-SLAM – a neural RGBD SLAM method capable of photorealistically reconstructing real-world scenes without compromising speed and efficiency.https://t.co/HqggU9MvOV
— DAIR.AI (@dair_ai) 17 décembre 20238/ Gaussian-SLAM – a neural RGBD SLAM method capable of photorealistically reconstructing real-world scenes without compromising speed and efficiency.
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LLMs in Medicine: Comprehensive Survey of Applications and Challenges
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6/ LLMs in Medicine – a comprehensive survey (analyzing 300+ papers) on LLMs in medicine; includes an overview of the principles, applications, and challenges faced by LLMs in medicine.
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Mathematical LLMs: Progress in Problem-Solving and Theorem Proving
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4/ Mathematical LLMs – a survey on the progress of LLMs on mathematical tasks; covers papers and resources on LLM research around prompting techniques and tasks such as math word problem-solving and theorem proving.
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LLM360: Transparent Open-Source Large Language Model Training
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5/ Towards Fully Transparent Open-Source LLMs – proposes LLM360 to support open and collaborative AI research by making the end-to-end LLM training process transparent and reproducible.