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Large Action Models (LAMs): Redefining the Future of AI Agents

Large Action Models (LAMs): Redefining the Future of AI Agents

by Martha Ritter | Dec 26, 2024 | language model

Large Action Models (LAMs) are a new type of AI that can perform actions based on user instructions, going beyond the text generation capabilities of Large Language Models (LLMs). While LLMs like ChatGPT generate text, LAMs can execute tasks like booking services or...
MultiModal AI: A Comprehensive Overview

MultiModal AI: A Comprehensive Overview

by Martha Ritter | Dec 16, 2024 | Artificial Intelligence

Multimodal AI is an exciting development in Generative AI, allowing it to simultaneously handle text, images, sounds, and more. Unlike traditional AI, this advanced form processes multiple data types, making interactions more natural, like chatting with friends. For...
Future Trends And Developments In Large Language Models (LLMs)

Future Trends And Developments In Large Language Models (LLMs)

by Martha Ritter | Nov 19, 2024 | language model

Large Language Models and Generative AI have been growing and revolutionizing the world. However, just like Microsoft’s Tay Chatbot and Amazon’s AI-enabled recruitment tool, businesses are dealing with LLMs and wish to know how generative AI with large...
Chain Of Thought Prompting Explained: Key Insights, Benefits And Examples

Chain Of Thought Prompting Explained: Key Insights, Benefits And Examples

by Martha Ritter | Nov 6, 2024 | language model

Humans are naturally capable of solving problems. From the ancient era to modern times, we have successfully used our creativity, logical reasoning, and intelligence to generate solutions for conflicts. However, with the advent and evolution of AI, we are facing new...
Overcoming Challenges In Reinforcement Learning From Human Feedback (RLHF) In LLMs

Overcoming Challenges In Reinforcement Learning From Human Feedback (RLHF) In LLMs

by Martha Ritter | Sep 18, 2024 | language model

Artificial intelligence is a rapidly growing field. Reinforcement learning (RL) is one of the most powerful paradigms for training intelligent agents to make decisions in different environments. It can be best viewed in large, high-end language models like ChatGPT. ...
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    Bounding Box vs Polygon Annotation: How to Make the Right Choice
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