This blog presents an application utilizing the Zephyr-7B Beta model as the Large Language Model, along with Langchain and Chainlit. Here, I will investigate their respective capabilities and showcase their potential in the development of an interactive chat application. …

What is Ollama ? Ollama empowers you to acquire the open-source model for local usage. It automatically fetches models from optimal sources and, if your computer has a dedicated GPU, it seamlessly employs GPU acceleration without requiring manual configuration. Customizing the model is easily achievable by modifying the prompt, and Langchain is not a…

What is HyDE ? HyDE uses a Language Learning Model, like ChatGPT, to create a theoretical document when responding to a query, as opposed to using the query and its computed vector to directly seek in the vector database. It goes a step further by using an unsupervised encoder learned through contrastive methods. This…

Traditional RAG Paradigm RAG represents a fusion of retrieval systems and LLMs. While LLMs demonstrate proficiency in creating content according to context, RAG supports them by identifying the precise context from various data sources. …

LLMs can acquire new information in at least two ways: Weight updates (e.g., fine-tuning) RAG (retrieval augmented generation) Retrieval-augmented generation (RAG) is the practice of extending the “memory” or knowledge of LLM by providing access to information from an external data source. The typical RAG process is as follows: The user asks a question or provides an…

🤗 Huggingface in collaboration with bitsandbytes incorporated the AutoGPTQ library into Transformers. This integration enabled users to quantize and operate models with precision levels as low as 8, 4, 3, or even 2 bits, employing the GPTQ algorithm introduced by Frantar et al. in 2023. It’s important to note that…

What is GenAI Stack? GenAI Stack is an end-to-end framework designed to integrate large language models (LLMs) into applications seamlessly. The purpose is to bridge the gap between raw data and actionable insights or responses that applications can utilize, leveraging the power of LLMs. Working Components in GenAI Stack There are 7 main components involved in GenAI Stack. Data…

What is RAG ? Retrieval Augmented Generation (RAG) is a methodology that combines elements of information retrieval and natural language generation to improve the quality and relevance of generated text, particularly in the context of complex language tasks like question-answering, summarization, and text completion. The primary goal of RAG is to enhance the generation…

What is Keyword Search? Keyword search, also known as keyword-based search, is a traditional and fundamental method for retrieving information from a database or a search engine. It involves using specific words or phrases (keywords) to search for documents, web pages, or other forms of data that contain those exact terms or closely related…