Tag: LLM
Informatica CEO: Good Data Management Not Optional for AI
The big data era may have started a decade-and-a-half ago, but for many companies, it’s the current AI revolution that’s forcing them to finally get serious about data management, says Informatica CEO Amit Walia. “ Read more…
Has Codeium Cracked the Code for AI Assistants?
When it comes to AI-powered coding assistants, Microsoft’s Copilot has the name and the numbers. But a competitor called Codeium is growing quickly, and according to its co-founder and CEO Varun Mohan, the sky is the l Read more…
Forrester Slices and Dices the Vector Database Market
The large language model (LLM) revolution has transformed vector databases from obscure search tech into must-have products for AI success. But which vector database features should you look for, and which vendors are in Read more…
GenAI Is Putting Data in Danger, But Companies Are Adopting It Anyway
There are serious questions about maintaining the privacy and security of data when using generative AI applications, yet companies are rushing headlong to adopt GenAI anyway. That’s the conclusion of a new study relea Read more…
The Semi-Autonomous Agents of Amazon Q
Amazon Web Services (AWS) says business productivity will soar as a result of Amazon Q, its new generative AI service that became generally available this week. In particular, the capability to deploy semi-autonomous AI Read more…
DataRobot ‘Guard Models’ Keep GenAI on the Straight and Narrow
Businesses are eager to deploy generative AI applications, but fears over toxic content, leaks of sensitive data, and hallucinations are giving them pause. One potential solution is to deploy “guard models” alongside Read more…
The Synergy Between Knowledge Graphs and Large Language Models
Extracting valuable insights from unstructured text is a critical application in the finance industry. However, this task often goes beyond simple data extraction and necessitates advanced reasoning capabilities. A pr Read more…
TigerGraph Unveils CoPilot, Version 4.0, and New CEO
TigerGraph is holding its Virtual Graph + AI Summit 2024 later this week. But first it made a trio of announcements, including pair of pre-built CoPilots that turbocharge LLMs with graph data; the launch of TigerGraph Cl Read more…
Snorkel Flow Update Offers Enhanced Enterprise Data Management Capabilities
Snorkel AI has announced a major update to its flagship data labeling, filtering, curation, and AI fine-tuning platform named Snorfel Flow. The latest update aims to address one of the most pressing challenges for compan Read more…
AtScale Announces Major Upgrade To Its Semantic Layer Platform
In today’s data-driven world, organizations are constantly seeking innovative solutions to extract maximum value from their data stack. However, with the rise of AI, organizations are dealing with increasingly complex Read more…
Snowflake Touts Speed, Efficiency of New ‘Arctic’ LLM
Snowflake today took the wraps off Arctic, a new large language model (LLM) that is available under an Apache 2.0 license. The company says Arctic’s unique mixture-of-experts (MoE) architecture, combined with its relat Read more…
The Top Five Data Labeling Firms According to Everest Group
The process of annotating and labeling data is critical for supervised learning tasks, such as training a large language model (LLM) and other types of machine learning models. However, the need for human cognition and i Read more…
Unlocking the Full Potential of Generative AI for Enterprise Analytics
Steve Jobs once compared the electric motor to the democratization of new technologies. When the electric motor was first invented, it could only be manufactured on a large-scale in a factory. They had great applications Read more…
Linux Foundation Promotes Open Source RAG with OPEA Launch
An offshoot of the Linux Foundation today announced the Open Platform for Enterprise AI (OPEA), a new community project intended to drive open source innovation in data and AI. A particular focus of OPEA will be around d 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…
Why A Bad LLM Is Worse Than No LLM At All
Companies are sprinting to add large language models (LLMs) to their technology stacks thanks to the popularity of generative AI like ChatGPT and Bard. The hours of work saved from using generative AI apps have many eage Read more…
Kinetica Elevates RAG with Fast Access to Real-Time Data
Kinetica got its start building a GPU-powered database to serve fast SQL queries and visualizations for US government and military clients. But with a pair of announcements at Nvidia’s GTC show last week, the company i Read more…
AWS Delivers ‘Lightning’ Fast LLM Checkpointing for PyTorch
AWS customers who are training large language models (LLMs) will be able to complete their model checkpoints up to 40% faster thanks to improvements AWS has made with its Amazon S3 PyTorch Lightning Connector. The compan Read more…
GenAI Doesn’t Need Bigger LLMs. It Needs Better Data
An exorbitant amount of time and energy is being spent developing and talking about the technology that goes into large language models. While the tech is indeed impressive, businesses that are building generative AI app Read more…
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