End to End Technology Solutions
In today’s fast-changing era of Artificial Intelligence (AI), the need for solutions that facilitate end-to-end integration of language models and real-world applications is higher than ever before. Welcome LangChain, a powerful platform built with the aim of optimizing the use of Large Language Models (LLMs). By offering an architecture to build intelligent and adaptive Continue Reading »
Supervised Fine Tuning (SFT) – Improving Models for Particular Scenarios The painstaking process that is the evolution of Artificial Intelligence (AI) has yielded exceptionally complex models capable of a variety of tasks, each performed with astounding efficiency. Unfortunately, these models often lack one crucial element: versatility. This is where Supervised Fine Tuning (SFT) proves to Continue Reading »
For years, Large Language Models (LLMs) have impressed us with their ability to generate human-like responses, but they’ve always had a major limitation—they react rather than act. They answer questions but don’t take the initiative, they don’t plan ahead, and they certainly don’t adapt to new information on their own. This is where the Continue Reading »
In the ever-evolving world of artificial intelligence (AI), large language models (LLMs) like ChatGPT have changed the way of interaction with technology. Their ability to generate human-like responses to a variety of questions made them revolutionary. This is where Retrieval-Augmented Generation (RAG) comes into play. RAG is a method designed to overcome these challenges and Continue Reading »
Artificial intelligence has taken a great leap with the help of Reinforcement Learning from Human Feedback (RLHF), a method that combines the power of human judgment with traditional machine learning. Unlike conventional training processes that depend entirely on static datasets, RLHF uses human input to make AI systems more adaptable and contextually aware. What Makes Continue Reading »
The world of artificial intelligence is rapidly evolving, and at the forefront of this revolution is the concept of AI agents. These autonomous entities are designed to perform tasks, make decisions, and solve problems independently, often in real-time, with minimal human intervention. As AI agents become more sophisticated, they transform industries by automating complex processes, Continue Reading »
Large Language Models (LLMs) are at the forefront of artificial intelligence, powering applications from chatbots and translators to content generators and personal assistants. These models, such as OpenAI’s GPT-4, have revolutionized how we interact with machines by understanding and generating human-like text. How Large Language Models Work: Large language models are functions that map text Continue Reading »
As AI technology rapidly advances, the integration of language models like OpenAI’s GPT-4 into various applications has become increasingly prevalent. One of the most powerful features of these models is their ability to call functions directly, enabling developers to create more dynamic and responsive applications. However, to harness this capability effectively, adhering to best coding practices Continue Reading »