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Tag: large language model

Self-Driving Cars vs. Coding Copilots

Back in the mid-2010s, the world of autonomous vehicles was making great progress, and it seemed that we would soon be ushered around in cars that drove themselves, leaving us free to spend our time how we wanted. That o Read more…

Vectara Spies RAG As Solution to LLM Fibs and Shannon Theorem Limitations

Large language models (LLMs) hallucinate. There’s just no way around that, thanks to how they're designed and fundamental limitations on data compression as expressed in the Shannon Information Theorem, says Vectara CE Read more…

Gretel Open Sources 100,000 Text-to-SQL Samples

Synthetic data generation company Gretel last week announced it has donated more than 100,000 examples of text-to-SQL conversions and parked them on Huggingface, providing enterprises with another free, open source resou Read more…

GenAI Show Us What’s Most Important, MinIO Creator Says: Our Data

Generative AI is a fundamental breakthrough that will have far-reaching implications for computing, according to MinIO CEO and co-founder Anand Babu “AB” Periasamy. But the biggest impact GenAI will have, he said, is Read more…

Top 10 Challenges to GenAI Success

So you want to implement generative AI? That’s great news! You can count yourself among the majority of IT decision makers who have also seen the potential of this transformative tech. While GenAI has the potential to Read more…

How AWS Plans to Cope with GenAI’s Insatiable Desire for Compute

Companies that toyed around with generative AI this year will be looking to play for keeps in 2024 with production GenAI apps that move the business needle. Considering there’s not enough GPUs to go around now, where w Read more…

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…

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