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…niche status and anticipated software hurdles. Theme 4. Scaling Retrieval-Augmented Generation (RAG) for Massive Datasets How to scale RAG to 20 million documents ? (Score: 137, Comments: 136): To scale RAG (Retrieval-Augmented Generation) …
…mentioned: GitHub - microsoft/graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system: A modular graph-based Retrieval-Augmented Generation (RAG) system - microsoft/graphrag LLM Agents (Berkeley MOOC) ▷…
…GPUs. Users expressed interest in enhancing these models with retrieval-augmented generation (RAG) capabilities and tools for improved knowledge and reflection. The model's fine-tuning process was discussed, with llama-factory being used…
…changes from previous versions. 4. Knowledge Graphs and Retrieval-Augmented Generation (RAG) Triplex cuts KG costs by 98%: Triplex from SciPhi.AI cuts knowledge graph extraction costs by 98%, outperforming GPT-4 at 1/60th the price by using…
…AI, including Meta-Reasoning Prompting (MRP), improvements in retrieval-augmented generation with the ERASE methodology, and sparse communication topologies in multi-agent debates. These offer insights into optimizing computational costs…
…in adopting persistent memory for deeper interactions. Recipe Generation Goes Both Ways: Discussion centered on top-down vs bottom-up approaches for building advanced recipes with minimal cost. The group weighed how retrieval modes and…
…this a significant opportunity for engineers working with retrieval-augmented generation. Radical AI Founders Masterclass Kicks Off Soon: The Radical AI Founders Masterclass begins October 9, 2024, featuring sessions on transforming AI…
…(MoA) approach in just 50 lines of code. @togethercompute Retrieval Augmented Generation (RAG) Fine-Tuning RAG fine-tuning outperforms larger models: Fine-tuned Mistral 7B models using RAG match or beat larger models like GPT-4o & Claude 3 …
…most recent advancements in generative modeling. Simplifying Retrieval-Augmented Generation: The GitHub repository bugthug404/simple_rag presents Simple Rag, a project aiding in the development of retrieval-augmented generation which can be…
…both, according to this response. Debate continues whether a Retrieval Augmented Generation (RAG) system could be considered an "environment" with which the LLM interacts. OpenRouter (Alex Atallah) Discord Perplexity API Exposes Copyright…
…RAG Tactics Spark Dev Conversations: Developers delve into retrieval-augmented generation methods, discussing vector stores and embeddings like voyage-code-3. Codebase Indexing: A Bare-Bones Approach?: Some users criticize codebase indexing…
…Language Models and NLP tools through one easy-to-use API. Retrieval Augmented Generation (RAG) — Cohere: Generate text with external data and inline citations using Retrieval Augmented Generation and Cohere's Chat API. Cohere ▷…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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