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5 Use Cases to Leverage Large Language Models in Customer Service Interactions
Author(s): Sriram Parthasarathy Originally published on Towards AI. Customer service is the lifeblood of any successful business. Excellent customer service fosters customer loyalty, strengthens relationships, and boosts a brand’s reputation. Yet, with a huge volume of customer inquiries in the digital age, …
Unmasking the Bookworm in AI: A Deep Dive into the Literary Knowledge of Large Language Models
Author(s): Cezary Gesikowski Originally published on Towards AI. “You don’t have to burn books to destroy a culture. Just get people to stop reading them.” — Ray Bradbury, author of the sci-fi novel “Fahrenheit 451” image: Unsplash In a groundbreaking study that …
The Anatomy of a Full Large Language Model Langchain Application
Author(s): Mostafa Ibrahim Originally published on Towards AI. A deep dive — data extraction, initializing the model, splitting the data, embeddings, vector databases, modeling, and inference Photo by Simone Hutsch on Unsplash We are seeing a lot of use cases for langchain …
Building Domain-Specific Custom LLM Models: Harnessing the Power of Open Source Foundation Models
Author(s): Sriram Parthasarathy Originally published on Towards AI. The transformative potential of training large LLMs with domain-specific data. With AI on a private cloud, organizations can ensure that everything, including custom Language Models (LLMs), remains within their secure cloud environment, preserving data …
Meet MPT-7B: A Suite of Open Source, Commercially Available LLMs that Supports 65k Tokens
Author(s): Jesus Rodriguez Originally published on Towards AI. The new suite of models was released by MosaicML and support models optimized for Instructions, Chats, Stories and More. Image Credit: MosaicML I recently started an AI-focused educational newsletter, that already has over 150,000 …
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 …
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 …
Deploying a Langchain Large Language Model (LLM) with Streamlit & Pinecone
Author(s): Mostafa Ibrahim Originally published on Towards AI. Deploying a full-stack Large Language model application using Streamlit, Pinecone (vector DB) & Langchain Photo by David Pupăză on Unsplash LangChain is a library that helps developers build applications powered by large language models …
AI Race Heating Up: Google Announces PALM-2
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Mother of 100 languages, a Unified Language Model Ladies and gentlemen, the future is here! Google is about to drop some serious AI knowledge bombs at its annual developer conference. And …
The Art of Prompting: How Accurate Prompts Can Drive Positive Outcomes.
Author(s): Rohini Vaidya Originally published on Towards AI. Takeaways from the newly available free course offered by DeepLearning.AI and OpenAI regarding Prompt engineering for developers. Image Prompt engineering involves designing effective prompts for natural language generation models, such as GPT3, to produce …
Most Data Annotation Bpos Are Missing the Point Amid the GPT LLMS Wave
Author(s): Puneet Jindal Originally published on Towards AI. The humans-in-the-loop annotation will be reduced to a minimal review effort guided by AI! There is a lot of hype around What AI can do. Amidst the hype, there is a real incremental outcome …
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