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 Image by Author Introduction LLMs suffer from outdated information and they require re-training to keep up-to-date with recent changes.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 …
Evaluate and Monitor the Experiments With Your LLM App
Author(s): Konstantin Rink Originally published on Towards AI. Evaluation and tracking of your LLM experiments with TruLens This member-only story is on us. Upgrade to access all of Medium. Photo by Jonathan Diemel on Unsplash The development of a Large Language Model …
Orca 13B: Imitating GPT-4 the “Right” Way
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Limited diversity Paper argues that all other small models are imitating GPT-4 the wrong way (style) but not the right way (reasoning). Lack of rigorous testing makes these small models look …
Extracting the potential of PYNLPL: A Step-by-Step Guide
Author(s): Tushar Aggarwal Originally published on Towards AI. {This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of PYNLPL} Image crafted by Author Amidst the cacophony of information inundation, rest assured that this …
How to Create a Natural Language to SQL Translator Using OpenAI API
Author(s): Pere Martra Originally published on Towards AI. In this simple guide, we are going to see how to use the gpt-3.5-turbo model using the OpenAI API to create a SQL Generator. I am involved in several development teams, one of which …
Unlimiformer: Long-Range Transformers with Unlimited Length Input
Author(s): Reza Yazdanfar Originally published on Towards AI. Now it’s possible to have deep learning models with no limitation for the input size. unsplash Attention-based transformers have revolutionized the AI industry since 2017. Since then, we have seen significant progress in all …
Meet Gorilla: A Fully OpenSource LLM Tuned For API Calls
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. UC Berkley and Microsoft Research together came up with Gorilla, which specializes in API calls. This model is a 7b parameter model means consumer GPUs are in business. Let’s take …
Using Large Language Models to Build a Biomedical Chatbot
Author(s): Rahul V. Veettil Originally published on Towards AI. Building Intelligent Biomedical Chatbots using GPT, Bio-GPT, and Falcon Author’s Image Large language models (LLMs) [1, 2] have revolutionized everything from natural language processing to virtual assistants. These models are adept at both …
Exploring the Power of the Transformers Library for Natural Language Processing
Author(s): Rafay Qayyum Originally published on Towards AI. Natural language processing (NLP) is a branch of Artificial Intelligence that deals with giving computers the ability to understand text and spoken words in the same way human beings can.NLP has made significant advancements …
Machine Translation, but Unsupervised
Author(s): Yunzhe Wang Originally published on Towards AI. Decoding the Intricacies of Unsupervised Neural Machine Translation: A Deep Dive into its Mechanisms and Potential “Unsupervised Machine Translation”, Image by Midjourney In the ever-evolving landscape of machine translation, Unsupervised Neural Machine Translation (UNMT) …
GPT-4 Is Here For A While
Author(s): Patrick Meyer Originally published on Towards AI. GPT-4 was released 2 months ago, and it has pushed the boundaries of what is possible, but it is still more than a black box. Let us try to find out what is inside. …
GPT-4 Is Here For A While
Author(s): Patrick Meyer Originally published on Towards AI. GPT-4 was released 2 months ago, and it has pushed the boundaries of what is possible, but it is still more than a black box. Let us try to find out what is inside. …
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 …
Text Analytics with ChatGPT
Author(s): Manfye Goh Originally published on Towards AI. Is the traditional NLP technique still relevant? Photo by Bermix Studio on Unsplash Text analytics, or text mining, has emerged as an essential technique for extracting valuable insights from vast amounts of unstructured textual …
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 …
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