7). Self-Play Preference Optimization – proposes a self-play-based method for aligning language models; this optimization procedure treats the problem as a constant-sum two-player game to identify the Nash equilibrium policy.
GENERATIVE AI
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Survey on Retrieval-Augmented Language Models: Evolution and Applications
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5). A Survey on Retrieval-Augmented Language Models – covers the most important recent developments in RAG and RAU systems; it includes evolution, taxonomy, and an analysis of applications.
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Med-Gemini Multimodal Model Surpasses GPT-4 on Medical Benchmarks
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3). Med-Gemini – presents a family of multimodal models specialized in medicines and based on the strong multimodal and long-context reasoning capabilities of Gemini; achieves state-of-the-art performance on 10/14 benchmarks surpassing GPT-4 models.
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Multi-token Prediction Approach Improves LLM Speed
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2). Better and Faster LLMs via Multi-token Prediction – proposes a multi-token prediction approach that performs language modeling by training the predict the following n tokens using n independent output heads…
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Augment Your LLM Using RAGs NVIDIA Course
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4. Augment your LLM Using RAGs https://
learn.nvidia.com/courses/course
-detail?course_id=course-v1:NVIDIA+S-FX-16+v1
… -
Free Nvidia Courses on Generative AI, Computer Vision and RAG
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Free courses from Nvidia on Generative AI Foundations, Computer Vision and RAG:
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Generative AI Explained: NVIDIA Learning Course
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1. Generative AI Explained: https://
learn.nvidia.com/courses/course
-detail?course_id=course-v1:DLI+S-FX-07+V1
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LLMs Tips and Tutorials – Follow for More AI Insights
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If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.
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Agent Hackathon Success: OpenAI API Demos and Great Founders
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Packed event at the @agihouse_org agent hackathon today! We had the privilege to hear from @vkhosla
, meet great founders, and I showcased some live @OpenAI API demos. The energy was buzzing—thanks for the warm welcome and all the engaging questions! -
Explore LLM Apps with RAG in GitHub Repository
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support