LLMs
Discover Qwen3, Alibaba’s open-source thinking LLM. Switch between fast replies and chain-of-thought reasoning with 128 K context, and MoE efficiency. Learn how to use and Fine Tune.
Unsloth has emerged as a game-changer in the world of large language model (LLM) fine-tuning, addressing what has long been a resource-intensive and technically complex challenge. Adapting models like LLaMA,
Fine-Tuning Gemma 3 allows us to adapt this advanced model to specific tasks, optimizing its performance for domain-specific applications. By leveraging QLoRA (Quantized Low-Rank Adaptation) and Transformers, we can efficiently
Gemma 3 is the latest addition to Google’s family of open models, built from the same research and technology used to create the Gemini models. It is designed to be
Model Context Protocol (MCP) is a new standard by Anthropic to connect LLMs with different applications via a server-client protocol.
GraphRAG is a pivotal research from Microsoft improving the shortcomings of naive RAG by employing structured Knowledge graph which includes entities, relations, claims etc, for traceability by traversing multi-hop nodes.
- Generative AI, LLMs, NLP, RAGs
AI, being no longer confined to passive algorithms, is transforming itself into autonomous agents that can perceive, reason, and act with increasing intelligence. These agents are designed to navigate uncertainty,
Molmo VLM is an open-source Vision-Language Model (VLM) showcasing exceptional capabilities in tasks like pointing, counting, VQA, and clock face recognition. Leveraging the meticulously curated PixMo dataset and a well-optimized
This article discusses the architecture of LightRAG from HKU, exploring its in-depth internal workings and comparing it with GraphRAG and NaiveRAG for local document analysis.
We often take out our phones and say, “Hey Siri, play Perfect by Ed Sheeran” or “Ok Google, set an alarm at 7.30 in the morning.” And the work is
Performing RAG on Unstructured elements that too in complex pdfs like finance, law reports is challenging. ColPali a novel document retrieval approach achieves SOTA results with high quality retrieval. This
In this article, we explore RAG with LLMs using LangChain and Hugging Face Transformers.
