India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Explore Hybrid Search in RAG: Enhance AI interactions with memory and advanced retrieval techniques for smarter responses.
Build agents and Multi-Agent System with CrewAI and Ollama, using local LLMs like Llama2, Llama3, and LLaVA.
Explore how Google's DataGemma tackles hallucinations in Large Language Models (LLMs) by connecting them with real-world data.
Build a Multimodal RAG system to handle text, images & tables, overcoming traditional RAG limitations using advanced multimodal LLMs.
Here's the comparison of o1-preview vs o1-mini, offer enhanced reasoning capabilities, excelling in nuanced tasks, STEM applications & more.
Explore Vision Language Models (VLMs): capabilities, notable models, training, and advancements in multimodal AI systems.
How the Chinchilla Scaling Law redefines NLP by optimizing large language models, balancing model size, data, and computational efficiency?
Agentic RAG pipelines enhance real-time AI with retrieval systems, monitor scalability & optimal performance using Llama Agents and Langfuse.
Explore Agentic RAG Systems: Enhance AI accuracy with dynamic retrieval and generation techniques for better results.
Explore how to fine-tune open-source LLMs using Lamini to improve domain-specific accuracy and enhance AI performance.
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