#freelancer • 7m
10 Best LLM Tools to Simplify Your Workflow 1️⃣ LangChain LangChain's flexibility suits complex AI and multi-stage processing. 2️⃣ Cohere Cohere offers integration, scalability, and customization. 3️⃣ Falcon Falcon offers cost-effective, high-performance solutions with flexibility. 4️⃣ Haystack Install Haystack, set up a store, create a pipeline, and ask questions. 5️⃣ Llama 2 Llama 2 is an efficient, accurate model for mobile and IoT apps. 6️⃣ Llamafile Llamafile is perfect for large data processing in fast-paced industries. 7️⃣ LlamaIndex LlamaIndex boosts search and decision-making for large knowledge bases. 8️⃣ Ollama Ollama is a customizable LLM for support and content generation. 9️⃣ vLLM vLLM is a scalable, efficient LLM for large-scale and multi-tenancy applications. 🔟 Foundation Model Fine-Tuning Fine-tuning offers high performance with fewer resources for custom LLMs.
AI Deep Explorer | f... • 2m
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 1️⃣ Fin
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Top 10 AI Research Papers Since 2015 🧠 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, I’ve read tons of books in AI, ML, and LLMs — 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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