Categories: AI/ML Research

Prompt Compression for LLM Generation Optimization and Cost Reduction

Large language models (LLMs) are mainly trained to generate text responses to user queries or prompts, with complex reasoning under the hood that not only involves language generation by predicting each next token in the output sequence, but also entails a deep understanding of the linguistic patterns surrounding the user input text.

Natural Language Generation Inside Out: Teaching Machines to Write Like Humans

Natural language generation (NLG) is an enthralling area of artificial intelligence (AI) , or more specifically of natural language processing (NLP) , aimed at enabling machines to produce human-like text that drives human-machine communication for problem-solving.

November 5, 2024

In "AI/ML Research"

The Beginner’s Guide to Language Models with Python

Language models — often known for the acronym LLM for Large Language Models, their large-scale version — fuel powerful AI applications like conversational chatbots, AI assistants, and other intelligent text and content generation apps.

March 11, 2025

In "AI/ML Research"

Bias Detection in LLM Outputs: Statistical Approaches

Natural language processing models including the wide variety of contemporary large language models (LLMs) have become popular and useful in recent years as their application to a wide variety of problem domains have become increasingly capable, especially those related to text generation.

March 22, 2025

In "AI/ML Research"

AI Generated Robotic Content