IBM Journey to AI blog

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts.

Hybrid AI 246

Hybrid AI Large Language Models LLM Natural Language Processing 246

Flipboard

APRIL 23, 2023

The explosion of new generative AI products and capabilities over the last several months — from ChatGPT to Bard and the many variations from others based on large language models (LLMs) — has driven an overheated hype cycle. In turn, this situation has led to a similarly expansive and passionate …

Hybrid AI 157

Hybrid AI Large Language Models LLM ChatGPT 157

NVIDIA

MAY 29, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and RTX workstation users. Generative AI is enabling new capabilities for Windows applications and games.

Generative AI 103

Generative AI Hybrid AI Data Scientist Neural Network 103

O'Reilly Media

NOVEMBER 19, 2024

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. at Facebook—both from 2020.

LLM 125

LLM NLP Hybrid AI Large Language Models 125

deepsense.ai

NOVEMBER 14, 2023

One of our valued customers asked us to develop a code-generating solution for a somewhat niche language (think GitHub Copilot’s [9] competition for this language). Even though the team we established consisted of elite LLM experts, the task proved very challenging. The main effort went directly into generative model creation itself.

Generative AI 111

Generative AI ML Prompt Engineering Prompt Engineer 111

ODSC - Open Data Science

DECEMBER 2, 2024

Marcus’s views provide a deep dive into why LLMs, despite their breakthroughs, are not suited for tasks requiring complex reasoning and abstraction. This blog explores Marcus’s insights, addressing LLMs’ inherent limitations, the need for hybrid AI approaches, and the societal implications of current AI practices.

Large Language Models 40

Large Language Models Hybrid AI Deep Learning OpenAI 40