A Quick Tutorial to Implementation of AutoGen UI by Panel — AutoGen is a development framework from Microsoft that helps create applications with automated multi-agent conversations. It works by letting multiple assistant-type agents talk to one another following the role definitions to complete complex jobs. These agents can be tailored to your needs, are easy to chat with, and let humans…

A Quick Development Guide to OpenAI GPT-4 Feature Updates — No matter your level of engagement with AI or the realm of large language models, you must be in the loop about the OpenAI DevDay that just took place in San Francisco. The event showcased a series of new additions, features, and enhancements aimed at those working with GPT-based LLM…

A Walkthrough for the Implementation of Step-back Prompting in LangChain — In the development of LLM applications, the Chain-of-Thought prompting techniques have been significantly applied to AI products like Chatbot, QA systems, or agents. These techniques try to produce a coherent series of intermediate reasoning steps that help increase the success rate of generating a response. However, reasoning on complex problems…

Introduction of HuggingFace’s New Fine-tuned Model Zephyr-7B-α — It has been a while since I introduced some new open-source language models last time. Recently, most tech communities have noticed Zephyr, a 7-B model, outperforming the Llama-2–70B model on an MT bench, which is a standard that assesses the efficiency of chatbots. The high score in the metrics of…

A Walkthrough of AutoGen, a conversable LLM application framework from Microsoft — Imagine stepping into a studio, where various tasks are seamlessly performed by autonomous AI agents who work around the clock. This technical revolution felt a bit nearer after I tried to develop LLM applications by using AutoGen, a framework for developing multi-agent LLM applications. In today’s article, I want to…

A Walkthrough of the Newly Released Construction of Langchain Agents — You probably have not noticed a quiet release from LangChain recently, in which they expose the low-level calling steps for an agent described in a dedicated “Get started” page and a new “Using LCEL” section for each specific Agent Type. In this release, LangChain rewrote every agent from a pre-defined…

A Quick Walkthrough for Langchain Hub — Admittedly, I’m not building AI bots around the clock. In today’s article, I want to demonstrate to you the process of using a new platform to create dedicated apps powered by countless prompt strategies at light speed. The spotlight is on Langchain Hub, an essential tool that significantly simplifies the…

A Step-by-Step Tutorial for Finetuning gpt-3.5-turbo for a Custom Tone — OpenAI has recently launched the capability to fine-tune its modelgpt-3.5-turbo, more informally known as ChatGPT. This update has been highly anticipated and its arrival is seen as a significant contribution for users who are interested in having their own model. For now, users can only fine-tune one model, with further…

A Quick Walkthrough for Deploying Chainlit Web App on Colab via Ngrok — It’s been a while since I developed LLM-powered chatbots by using Chainlit, a robust web development library in Python that is deeply integrated with large language models, the Langchain framework, and other LLM-related toolsets. As I mentioned in previous articles, Chainlit is well-known for its seamless integration, user-friendly reasoning visualization…