LLMops

In this tutorial, we will walk through an implementation of the Qwak Vector store - building a Qwak model that transforms Wikipedia article texts into embedding, storing that embedding data in the Qwak Vector store with relevant metadata related to the articles, and finally, querying the vector store to retrieve objects similar to our search criteria.

Large Language Models (LLMs) are a transformative technology that enables developers to build applications that were previously impossible. However, using LLMs in isolation is often insufficient for useful application. As projects like LangChain or AutoGPT have shown the world, the real power of the technology comes into play when you can connect them with other sources of computation or knowledge.

Generative models have revolutionized the field of artificial intelligence by enabling computers to generate realistic and creative outputs. One particularly remarkable class of generative models is language models, which can produce human-like text based on the patterns and structures they learn from vast amounts of training data. We are all familiar with such solutions like ChatGPT by OpenAI and Bard by Google. In this blog post, we will delve into the fascinating world of generative models, explore the capabilities of Language Models (LLMs) and learn how to fine tune a model on your own data.

Large Language Models (LLMs) have taken the world by storm. Thanks to powerful AI models such as OpenAI's GPT-4 and the popularity of products such as ChatGPT, companies are now racing to integrate LLMs into their products.

OpenAI has introduced GPT-4, a large multimodal model designed for accepting image and text inputs and emitting text outputs. The latest model demonstrates human-level performance on various professional and academic benchmarks, such as passing a simulated bar exam with a score in the top 10% of test takers. The company spent six months iteratively aligning GPT-4, resulting in improved results on factuality, steerability, and not going outside of guardrails.

The artificial intelligence (AI) industry has been working for years on improving natural language processing and understanding. The latest intelligent technology in this regard is the Large Language Model (LLM).