#freelancerย โขย 7m
10 Best LLM Tools to Simplify Your Workflow 1๏ธโฃ LangChain LangChain's flexibility suits complex AI and multi-stage processing. 2๏ธโฃ Cohere Cohere offers integration, scalability, and customization. 3๏ธโฃ Falcon Falcon offers cost-effective, high-performance solutions with flexibility. 4๏ธโฃ Haystack Install Haystack, set up a store, create a pipeline, and ask questions. 5๏ธโฃ Llama 2 Llama 2 is an efficient, accurate model for mobile and IoT apps. 6๏ธโฃ Llamafile Llamafile is perfect for large data processing in fast-paced industries. 7๏ธโฃ LlamaIndex LlamaIndex boosts search and decision-making for large knowledge bases. 8๏ธโฃ Ollama Ollama is a customizable LLM for support and content generation. 9๏ธโฃ vLLM vLLM is a scalable, efficient LLM for large-scale and multi-tenancy applications. ๐ Foundation Model Fine-Tuning Fine-tuning offers high performance with fewer resources for custom LLMs.
Hey I am on Medialย โขย 11m
Huge announcement from Meta. Welcome Llama 3.1๐ฅ This is all you need to know about it: The new models: - The Meta Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models
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LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance
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"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1๏ธโฃ Fin
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What Are Some Real Examples of Large Language Models, and How Are They Used? Large Language Models (LLMs) are revolutionizing the way we interact with artificial intelligence. From chatbots to code generators, these models are reshaping industries b
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Top 10 AI Research Papers Since 2015 ๐ง 1. Attention Is All You Need (Vaswani et al., 2017) Impact: Introduced the Transformer architecture, revolutionizing natural language processing (NLP). Key contribution: Attention mechanism, enabling models
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My Favorite AI & ML Books That Shaped My Learning Over the years, Iโve read tons of books in AI, ML, and LLMs โ but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst
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Set2Scoreย โขย 1m
๐ง๐ต๐ถ๐ ๐๐ ๐๐๐ฎ๐ฟ๐๐๐ฝ ๐ถ๐ ๐ฐ๐ต๐ผ๐ผ๐๐ฒ๐ป ๐ฏ๐ ๐๐ข๐ ๐๐ผ ๐ฐ๐ฟ๐ฒ๐ฎ๐๐ฒ ๐๐ป๐ฑ๐ถ๐ฎ' ๐ณ๐ถ๐ฟ๐๐ ๐ป๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฒ๐ฟ๐ฒ๐ถ๐ด๐ป ๐๐๐ !! Sarvam AI โ Bulbul Initiative : Bulbul V2 is a text-to-speech (TTS) model developed specifically for the
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