How is Google Aiming At a Trillion Parameter Model (PaLM): Page-by-Page Review
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. PATHWAYS: ASYNCHRONOUS DISTRIBUTED DATAFLOW FOR ML and Scaling Language Modeling with Pathways This time I was going to deviate from a usual 1 paper 1 review approach to 2 papers 1 …
How To Use Vector Search To Quickly Build A Content-Based Filtering Recommender System
Author(s): ___ Originally published on Towards AI. Qualitative Evaluation Visualizing some results (all movie posters are from imdb) In this article, I will share how a vector search engine like weaviate can be used to quickly build a content-based filtering recommender system. …
Demystifying AI for everyone: Part 1 -NLP Basics
Author(s): Himanshu Joshi Originally published on Towards AI. In the age of ChatGPT, let's start with the basics Over the years, we humans have devised ways to communicate effectively with each other. One of the ways to communicate, and the most used …
Demystifying AI for everyone: Part 2-NLP Vectorization
Author(s): Himanshu Joshi Originally published on Towards AI. In the age of ChatGPT, let’s learn the basics I have started this Demystifying AI for everyone series to explain the basic building blocks of NLP in layman's language. So that in the age …
From Text to Conversation: How ChatGPT is Changing the Way We Communicate
Author(s): Dhrubjun Originally published on Towards AI. Photo by ilgmyzin on Unsplash Introduction In recent years, artificial intelligence (AI) has seen significant advancements, particularly in the field of natural language processing (NLP). One of the most notable developments in this field is …
Understanding LangChain 🦜️🔗: Part:2
Author(s): Chinmay Bhalerao Originally published on Towards AI. Understanding LangChain U+1F99C️U+1F517: Part:2 Implementing LangChain practically for building custom data bots involves incorporating memory, prompt templates, and Chains, and creating web-based applications Image by author WE CAN CONNECT ON :U+007C LINKEDIN U+007C TWITTER …
FineTuning Local Large Language Models on Your Data Using LangChain
Author(s): Serop Baghdadlian Originally published on Towards AI. Stop sending your private data through OpenAI API! Use local and secure LLMs like GPT4all-J from Langchain instead. Photo by Annie Spratt on Unsplash The recent introduction of Chatgpt and other large language models …
Tokens and Models: Understanding LangChain 🦜️🔗 Part:3
Author(s): Chinmay Bhalerao Originally published on Towards AI. Tokens and Models: Understanding LangChain U+1F99C️U+1F517 Part:3 Understanding tokens and how to select OpenAI models for your use case, how API key pricing works Image by Author WE CAN CONNECT ON :U+007C LINKEDIN U+007C …
Accented Speech Recognition: The Inclusive Realm of Automatic Speech Recognition Systems
Author(s): Toluwani Aremu Originally published on Towards AI. Photo by Jonathan Borba on Unsplash “Hey Google!” “Hey Siri!” “Hey Cortana!” “Bixby!!” “ALEXAAAA!!!” Yes, I was that frustrated trying to see if Google was the problem or if I was! In the summer …
Gorilla: Everything You Need to Know
Author(s): Muhammad Arham Originally published on Towards AI. This article introduces Gorilla; UC Berkeley, and Microsoft’s API support for Large Language Models. Image by Author Introduction LLMs suffer from outdated information and they require re-training to keep up-to-date with recent changes. With …
Making Models Smart: GPT-4 and Scikit-Learn
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to the seamless integration of ChatGPT-4 with Scitkit-Learn Image by Author with @MidJourney ChatGPT has allowed for convenient and efficient approaches to constructing text classification models. Scikit-learn is the conventional library …
Transformer Tune-up: Fine-tune BERT for State-of-the-art sentiment Analysis Using Hugging Face
Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. BERT Transformer Source: Image created by the author + Stable Diffusion (All Rights Reserved) In the context of machine learning and NLP, a transformer is a deep learning model introduced in a paper titled …
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 …
Engineering Prompt Chains With Language Models to Craft a “Summarizer Almighty” Web App
Author(s): LucianoSphere Originally published on Towards AI. Photo by Andreas Klassen on Unsplash Summarizing long texts or scanning them for pieces of information can be a tedious task, especially when you’re pressed for time. And certainly very hard when you are looking …
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, …
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