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GPTs vs. Human Crowd in Real-World Text Labeling: Who Outperforms Who?
Author(s): Evgeniya Sukhodolskaya Originally published on Towards AI. Who outperforms text classification? We decided to find out. Photo by mohamed_hassan on Pixabay The IT business world has been abuzz with controversy related to Large Language Models (LLMs). One of the hot topics …
How to Use Auto-GPT to Write and Fix Code for You
Author(s): François St-Amant Originally published on Towards AI. Forget about ChatGPT, Auto-GPT is already here Source: Image by Lukas on Unsplash ChatGPT arrived not so long ago, and already, Auto-GPT has been created. It already has 127k stars on Github…but what is …
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 …
Create Your First Chatbot Using GPT 3.5, OpenAI, Python and Panel.
Author(s): Pere Martra Originally published on Towards AI. In this article, we’ll see how the OpenAI API works and how we can use one of its famous models to make our own Chatbot. To make this brief introduction to the world …
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. …
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 …
Truveta LLM: FirstLarge Language Model for Electronic Health Records
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. In the last few years, if you google healthcare or clinical NLP, you would see that the search results are blanketed by a few names like John Snow Labs (JSL), Linguamatics …
Pre-train, Prompt, and Predict – Part1
Author(s): Harshit Sharma Originally published on Towards AI. Pre-train, Prompt, and Predict — Part1 The 4 Paradigms in NLP (This is a multi-part series describing the prompting paradigm in NLP. The content is inspired by this paper (a survey paper explaining the prompting methods …
Exploring Toolformer: Meta AI New Transformer Learned to Use Tools to Produce Better Answers
Author(s): Jesus Rodriguez Originally published on Towards AI. The model mastered the use of tools such as calculators, calendars, or Wikipedia search queries across many downstream tasks. Continue reading on Towards AI Join thousands of data leaders on the AI newsletter. Join …
How to Use Hugging Face Pipelines?
Author(s): Tirendaz AI Originally published on Towards AI. A practical guide on how to perform NLP tasks with Hugging Face Pipelines Image by Canva With the libraries developed recently, it has become easier to perform deep learning analysis. One of these libraries is …
Bard: Google releases ChatGPT Competitor That Will Respond Using Current Data
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Bard wants to bring together the knowledge of the world with the power, intelligence, and creativity of their large language models. It uses information from the web to give fresh and …
A GPT-3 Bot that Uses Pubmed Abstracts to Answer Science Questions
Author(s): LucianoSphere Originally published on Towards AI. By feeding GPT-3 with Pubmed abstracts, this GPT-3-powered chatbot can use the information contained in it to answer the user’s questions in a better way, also assisted by token probabilities to filter answers that might …
Ask, and You Shall Receive: Building a question-answering system with Bert
Author(s): Lan Chu Originally published on Towards AI. [Find the data and code for this article here.] Photo by Janasa Dasiuk on unsplash QA is the task of extracting the answer from a given document. It needs the context, which is the …
Which NLP Task Does NOT Benefit From Pre-trained Language Models?
Author(s): Nate Bush There is such a long history of pre-trained general language representation models with a massive impact that we take for granted that they are a completely 100% necessary foundation for all NLP tasks. There were two separate step function …
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