Logo: 
Areas Served: 
From Novice to Expert: A Comprehensive Step-by-Step Study Plan for Mastering LLMs
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Mastering Large Language Models (LLMs) is a compelling endeavor in the realm of Natural Language Processing (NLP). Whether you’re new to the field or have some experience, this article presents …
Things You Need To Know To Incorporate AI Into A Business
Author(s): Irina Nik Originally published on Towards AI. Technical insights and limitations, data privacy, safety tips, and more In this article, I’ll share my learnings from building AI prototypes and experimenting with OpenAI API. The article focuses primarily on Large Language Models …
Meet BabyAGI — The Autonomous AI Agent to Streamline Your Tasks
Author(s): Sriram Parthasarathy Originally published on Towards AI. Explore 10 Task Examples for Utilizing BabyAGI BabyAGI is an autonomous Artificial Intelligence agent developed by Yohei Nakajima. This autonomous AI agent is designed to generate and execute tasks based on given objectives. It …
Understanding LangChain 🦜️🔗: PART 1
Author(s): Chinmay Bhalerao Originally published on Towards AI. Top highlight Understanding LangChain U+1F99C️U+1F517: PART 1 Theoretical understanding of chains, prompts, and other important modules in Langchain Image by author In day-to-day life, we mostly work on building end-to-end applications. There are many …
How To Build Chatbots With Advanced Conditional Statement Understanding
Author(s): ___ Originally published on Towards AI. The LLM and Prompt Engineering Approach This article is a follow-up to my previous piece, “How To Build A Chatbot That Understands Conditional Statements: The Computational Linguistics Approach”, where we learned how to walk a …
Generative AI: A New Era of Algorithmic Creativity
Author(s): Patrick Meyer Originally published on Towards AI. If you haven’t heard about ChatGPT, MidJourney, or Stable Diffusion in the last few months, it’s because you were away in a monastery or in a country without the Internet. Let’s find out what’s …
AI’s Mind-Reading Revolution: How GPT LLMs Decode Thoughts and What It Means for Our Future
Author(s): Cezary Gesikowski Originally published on Towards AI. The incredible potential and privacy concerns of a groundbreaking study using AI to unlock human thoughts image by author via PlaygroundAI In recent years, the development of Generative Pre-trained Transformer (GPT) Large Language Models …
Inside Lamini: A New Framework for Fine-Tuning LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. The framework streamlines the process of using techniques such as RLHF in your LLM models. Top highlight Image Credit: Lamini I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence …
MLCoPilot: Empowering Large Language Models with Human Intelligence for ML Problem Solving
Author(s): Sriram Parthasarathy Originally published on Towards AI. Solving Machine Learning Tasks with MLCoPilot: Harnessing Human Expertise for Success Many of us have made use of large language models (LLMs) like ChatGPT to generate not only text and images but also …
Chat With Your Data To Build ML-Driven Customer Segments Using a Chatbot Built With ChatGPT and LangChain
Author(s): Sriram Parthasarathy Originally published on Towards AI. Use plain English to build ML models to identify profitable customer segments. In this post, we explore the concept of querying data using natural language, eliminating the need for SQL queries or coding skills. …
Chat With Your Healthcare Documents: Build a Chatbot With ChatGPT and LangChain
Author(s): Sriram Parthasarathy Originally published on Towards AI. Interactively query your PDF documents and extract insights. Did you know that 80% of healthcare data remains unused and unstructured? Traditional applications that rely solely on structured data can only use 20% of the …
Stochastic Parrots: A Novel Look at Large Language Models and Their Limitations
Author(s): Muhammad Saad Uddin Originally published on Towards AI. Image by Author via Stable Diffusion Recently, The term “stochastic parrots” has been making headlines in the AI and natural language processing (NLP) community. Particularly after the hype created by Large Language …
Large Language Models and GPT-4: Architecture and OpenAI API
Author(s): Simranjeet Singh Originally published on Towards AI. Introduction Large language models have revolutionized the field of natural language processing in recent years. These models are trained on massive amounts of text data and can generate human-like language, answer questions, summarize text, …
LLaMA-GPT4All: Simplified Local ChatGPT
Author(s): Luhui Hu Originally published on Towards AI. Meta LLaMA-based GPT4All for your local ChatGPT clone solution GPT4All, Alpaca, and LLaMA GitHub Star Timeline (by author) ChatGPT has taken the world by storm. It sets new records for the fastest-growing user base …
Training a Language Model To Give (Non) Legal Advice
Author(s): Thomas Rochefort-Beaudoin Originally published on Towards AI. In this article, I go through the basics of finetuning large language models like BLOOM on a legal text dataset. You can try it on HuggingFace Spaces! I am currently on a quest …
Popular posts
Updates
Recent Posts
