What is Retrieval Augmented Generation (RAG)? [Examples Included]

by Martha Ritter | Jan 29, 2025 | language model

Meta researchers published a 2020 paper introducing an “assisting” technique. At its core, this innovative technique merges the capabilities of Natural Language Generation (NLG) and Information Retrieval (IR): it is none other than Retrieval-Augmented...

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...

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

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

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. ...

The Rise Of Small Language Models (SLMs) Leaving Large Language Models (LLMs)

by Martha Ritter | Aug 27, 2024 | language model

While large language models like GPT and BERT have significantly captured the market, recent years have shown a paradigm shift. Small language models started capturing the market because of their efficiency. Furthermore, SLMs have been optimized more effectively and...