LangChain

As developers and dta scientists, we regularly find ourselves needing to interact with these powerful models through APIs. Nonetheless, as our applications grow in complexity and scale, the necessity for efficient and performant API...

In recent times, the digital world has seen significant changes, with chatbots becoming vital tools in customer support, virtual assistance, and plenty of other areas. These AI-driven agents have advanced quickly, now handling various...

A fast-start tutorialThe landscape of artificial intelligence (AI), particularly in Generative AI, has seen significant advancements recently. Large Language Models (LLMs) have been truly transformative on this regard. One popular approach to constructing an...

Developing a chatbot to reply questions on a JSON datasetI used to be recently provided a challenge: Develop a chatbot that may answer questions on a JSON dataset using an LLM and pre-defined student...

Because the world becomes increasingly data-driven, the demand for accurate and efficient search technologies has never been higher. Traditional search engines like google and yahoo, while powerful, often struggle to fulfill the complex and...

QA RAG with Self Evaluation IIFor this variation, we make a change to the evaluation procedure. Along with the question-answer pair, we also pass the retrieved context to the evaluator LLM.To perform this, we...

Experimenting with Large Language Models at no cost (Part 2)In the primary a part of the story, we used a free Google Colab instance to run a Mistral-7B model and extract information using the...

A very important aspect of Large Language Models (LLMs) is the variety of parameters these models use for learning. The more parameters a model has, the higher it will probably comprehend the connection between...