Tag: large language model
AWS Teases 65 Exaflop ‘Ultra-Cluster’ with Nvidia, Launches New Chips
AWS yesterday unveiled new EC2 instances geared toward tackling some of the fastest growing workloads, including AI training and big data analytics. During his re:Invent keynote, CEO Adam Selipsky also welcomed Nvidia fo Read more…
Rockset Primes Database for Massive Vector Serving
Rockset today unveiled new vector database capabilities, such as the addition of approximate nearest neighbor (ANN) search and native support for LlamaIndx and LangChain, that it says will help companies efficiently scal Read more…
Taking GenAI from Good to Great: Retrieval-Augmented Generation and Real-Time Data
Recent breakthroughs in modern technology, like generative AI, can unlock innovation and creativity on a massive scale. However, as transformative as GenAI can be, it also comes with its own set of challenges that could Read more…
Neo4j Finds the Vector for Graph-LLM Integration
The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those possibilities for its cus Read more…
Why LLMOps Is (Probably) Real
The jury is still out whether MLOps will survive as a discipline independent of DevOps. There are some who believe MLOps is real, and others who don’t. But what about LLMOps? There are indicators that practitioners nee Read more…
GenAI Is Making Data Science More Accessible, Dataiku Says
Large language models and generative AI are being adopted for all kinds of new and interesting use cases, which we explore daily in these pages. One of the less visible use cases is widening the pool of users who can tap Read more…
Cutting Through the GenAI Noise
The launch of ChatGPT in late 2022 ignited an explosion of interest in generative AI technology, as well as a hefty dose of hype and uncertainty. For businesses starting to plot their GenAI strategies, cutting through th Read more…
DataRobot CEO Sees Success at Junction of Gen AI and ‘Classical AI’
What’s the next generation of enterprise AI going to look like? If you ask DataRobot CEO Debanjan Saha, enterprises will see the most business benefits by combining new generative AI tools and techniques with the class Read more…
The Three Approaches to AI Implementation
There are three approaches to AI implementation emerging: the typical do-it-yourself approach where you do everything yourself that has the highest potential for failure; a services-based approach as highlighted by Lenov Read more…
Security Risks of Gen AI Raise Eyebrows
Unless you’ve been hiding under a rock the past eight months, you’ve undoubtedly heard how large language models (LLMs) and generative AI will change everything. Businesses are eagerly adopting things like ChatGPT to Read more…
AI to Goose Demand for All Flash Arrays, Pure Storage Says
These are still early days for AI, but the trajectory from things like ChatGPT makes it pretty clear to Pure Storage: The need to store and serve huge amounts of data to train AI models on GPUs will almost certainly requ Read more…
LLMs Are the Dinosaur-Killing Meteor for Old BI, ThoughtSpot CEO Says
When the dust from the bombardment of ChatGPT and other large language models (LLMs) on the market finally clears, there will be fewer BI and analytics vendors left standing, ThoughtSpot CEO Sudheesh Nair said. “I t Read more…
Nvidia’s AI Safety Tool Protects Against Bot Hallucinations
Early large-language models have proven to be triple-threat AIs – Bing and ChatGPT are entertaining, and can generate artificial love, hate, and even dance. But in the process of testing large-language models, one Read more…
Large Language Models: Don’t Believe the Hype
We’ve reached the Skynet moment for AI, it would seem. GPT-4, cast in the role of Terminator, has not only achieved consciousness, but it’s coming for your job, too. Everything will be different now, and there’s no Read more…
Databricks Bucks the Herd with Dolly, a Slim New LLM You Can Train Yourself
Databricks is getting into the large language model (LLM) game with Dolly, a slim new language model that customers can train themselves on their own data residing in Databricks’ lakehouse. Despite the sheepish name, D Read more…
Google Officially Releases Bard, Its ChatGPT Competitor
Google today announced that it’s officially releasing Bard, the new generative language model that it unveiled several weeks ago. While it’s still a research product, Google is eager to get Bard into the hands of tes Read more…
Nvidia Unveils GPUs for Generative Inference Workloads like ChatGPT
Today at its GPU Technology Conference, Nvidia took the wraps off three new GPUs designed to accelerate inference workloads for generative AI applications, including generating text, images, and videos. It also launched Read more…
Media Roundup: GPT-4’s Big Debut
Just two years ago, nobody outside of a small group of AI researchers and practitioners knew what a “large language model” was. But thanks to the launch of ChatGPT in November, everybody and her cat is an LLM expert Read more…
Microsoft Puts AI into ERP and CRM
Microsoft is leveraging its partnership with OpenAI to incorporate AI capabilities directly into its CRM and ERP products. Dubbed Microsoft Dynamics 365 Copilot, the new offerings are designed to offload clerical duties Read more…
Prompt Engineer: The Next Hot Job in AI
Technology professionals who want to catch the hottest wave in AI at the moment may consider becoming prompt engineers, which appears to be one of the most in-demand professions for 2023. And developers who want to get t Read more…
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