Flipboard

JUNE 2, 2023

As exciting as AI tools like ChatGPT, Google's Bard and Microsoft's numerous Co-pilots may be, they all currently face the same restriction: you have to be connected to the Internet to use them. For most people and in most situations that isn't a big problem, but imagine how great it. Read Entire Article

Hybrid AI 132

Hybrid AI ChatGPT AI Tools AI 132

Flipboard

JANUARY 31, 2023

AI will indeed be disruptive, but Hybrid AI has a lot of positive potential. The post The Brave New World Of AI: Is AI The Answer Or Just Part Of The Equation? appeared first on Above the Law.

Hybrid AI 177

Hybrid AI AI AI Artificial Intelligence 177

NVIDIA

OCTOBER 15, 2024

Moving to accelerate enterprise AI innovation, NVIDIA founder and CEO Jensen Huang joined Lenovo CEO Yuanqing Yang on stage Tuesday during the keynote at Lenovo Tech World 2024. It enables organizations to create agentic AI and physical AI that transform data into actionable business outcomes more efficiently. “Our

Hybrid AI 141

Hybrid AI Large Language Models AI AI 141

Flipboard

JULY 10, 2023

Over time, many enterprises have built an on-premises cluster of servers, accumulating data, and then procuring more servers and storage. They often …

Hybrid AI 94

Hybrid AI ML AI AI 94

Unite.AI

MARCH 22, 2024

Future Directions The potential for social learning in LLMs suggests various interesting and meaningful ways for future AI research: Hybrid AI Cultures : As LLMs participate in social learning, they might begin to form common methodologies.

Large Language Models 295

Large Language Models AI AI Artificial Intelligence 295

NVIDIA

MAY 29, 2024

As the capabilities and use cases for generative AI continue to grow, so does the demand for compute to support it. Hybrid AI combines the onboard AI acceleration of NVIDIA RTX with scalable, cloud-based GPUs to effectively and efficiently meet the demands of AI workloads.

Generative AI 92

Generative AI Hybrid AI Data Scientist Neural Network 92

Unite.AI

AUGUST 13, 2024

This algorithm addresses the limitations of previous methods, making it a key development for improving the accuracy and efficiency of AI systems. Understanding Retrieval-Augmented Generation (RAG) RAG is a hybrid AI framework that integrates the precision of information retrieval systems with the creative capabilities of generative models.

Algorithm 253

Algorithm Chatbots AI AI 253

AI Weekly

JUNE 22, 2023

forbes.com The EU's AI Act takes on the 'seven-headed hydra' of tech Wednesday saw the European Parliament approve the artificial Intelligence (AI) Act, making it one of the first regions to implement AI specific legislation at this level. techxplore.com What Is Unsupervised Machine Learning?

Computer Vision 202

Computer Vision Robotics Artificial Intelligence Artificial Intelligence 202

Unite.AI

AUGUST 22, 2023

You’ve described Algolia as being the most scalable hybrid AI search engine in the world. These data-driven methods can help to quickly enhance and improve results based on how customers interact with products, so you’re more likely to recommend the products that actually convert the best. It all comes back to Neural Hashing.

Big Data 246

Big Data Neural Network Natural Language Processing Hybrid AI 246

Unite.AI

FEBRUARY 16, 2024

Likewise, Connectionist AI , a modern approach employing neural networks and deep learning to process large amounts of data, excels in complex and noisy domains like vision and language but needs help interpreting and generalizations.

Neural Network 193

Neural Network Machine Learning Algorithm Natural Language Processing 193

NVIDIA

NOVEMBER 4, 2024

Dell Reference Designs for the Dell AI Factory with NVIDIA and the NVIDIA AI Blueprint for video search and summarization will support VLM capabilities in dedicated AI workflows for data center, edge and on-premises multimodal enterprise use cases.

Computer Vision 133

Computer Vision Visual AI Generative AI Hybrid AI 133

IBM Journey to AI blog

JULY 6, 2023

You’ll also need to create a hybrid, AI-ready architecture that can successfully use data wherever it lives—on mainframes, data centers, in private and public clouds and at the edge. Your AI must be trustworthy because anything less means risking damage to a company’s reputation and bringing regulatory fines.

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Marktechpost

JUNE 29, 2024

The evolution of AI for science includes the development of hybrid AI-simulation workflows, such as cognitive simulations (CogSim) and digital twins. These workflows blend traditional simulations with AI models to enhance prediction accuracy and decision-making processes.

Neural Network 104

Neural Network ChatGPT Hybrid AI Machine Learning 104

Unite.AI

JANUARY 23, 2024

Multi-Task Learning Rather than training individual LLM specialists, multi-task models allow teaching one model multiple skills via: Prompts framing each task Joint fine-tuning across tasks Adding classifiers on LLM encoder to make predictions This improves overall model performance and reduces training costs.

Large Language Models 100

Large Language Models Prompt Engineering Prompt Engineer LLM 100

O'Reilly Media

NOVEMBER 19, 2024

As a result, GraphRAG mixes two bodies of “AI” research: the more symbolic reasoning which knowledge graphs represent and the more statistical approaches of machine learning. Going forward there’s a lot of room for “hybrid AI” approaches that blend the best of both, and GraphRAG is probably just the tip of the iceberg.

LLM 102

LLM NLP Hybrid AI Large Language Models 102

Unite.AI

DECEMBER 9, 2024

For example, HARPA AI can summarize content, manage emails, generate SEO-optimized articles, and provide contextual AI assistance alongside search results from platforms like Google, Bing, DuckDuckGo and Yahoo. HARPA's core technology is pretty interesting. and Gemini.

Automation 159

Automation AI AI Categorization 159

AWS Machine Learning Blog

NOVEMBER 22, 2023

He has over 20 years of experience in product strategy and development, with the current focus of best-in-class performance and performance/$ end-to-end solutions for AI inference in the Cloud, for the broad range of use-cases, including GenAI, LLMs, Auto and Hybrid AI.

BERT 119

BERT Deep Learning Python Auto-classification 119

ODSC - Open Data Science

APRIL 6, 2023

Hybrid AI for Complex Applications with Scruff In this ODSC East preview, the author describes how the Scruff AI modeling framework enables clear and coherent implementation of multiparadigm AI models. Check out some more highlights in the full schedule here!

ChatGPT 52

ChatGPT Data Science Large Language Models Machine Learning 52

ODSC - Open Data Science

NOVEMBER 21, 2024

Understanding the Core Limitations of Large Language Models: Insights from Gary Marcus Gary Marcus, a leading voice and critic of AI, shared his thoughts in a recent podcast, where he explored LLMs’ limitations, the need for hybrid AI approaches, and more.

Data Science 40

Data Science Hybrid AI Large Language Models Deep Learning 40

deepsense.ai

NOVEMBER 14, 2023

2023 Witscript 3: A hybrid AI system for improvising jokes in a conversation , Toplyn J., Galstyan A. 2019 An empirical study on evaluation metrics of generative adversarial networks , Xu Q., 2018 Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models , Stein G., Cresswell J.C., Alnajjar K.,

Generative AI 111

Generative AI ML Prompt Engineering Prompt Engineer 111

ODSC - Open Data Science

DECEMBER 2, 2024

This blog explores Marcus’s insights, addressing LLMs’ inherent limitations, the need for hybrid AI approaches, and the societal implications of current AI practices. The Case for Hybrid AI Models A significant portion of Gary Marcus’s discussion revolves around hybrid AI as a necessary evolution.

Large Language Models 40

Large Language Models Hybrid AI Deep Learning OpenAI 40