Tag: LLM
‘The Relational Model Always Wins,’ RelationalAI CEO Says
The tech industry has a voracious appetite for the Next Big Thing. But sometimes, it’s the older thing that ends up being the right tool for a new job. That’s the argument being made by RelationalAI founder and CEO M Read more…
How MongoDB’s In-Database Tech Simplifies and Speeds RAG Workloads
Retrieval-augmented generation (RAG) is now an accepted part of the generative AI (GenAI) workflow and is widely used to feed custom data into foundation AI models. While RAG works, calls to outside tools can add complex Read more…
Fine-Tuning LLM Performance: How Knowledge Graphs Can Help Avoid Missteps
Fine-tuning is a crucial process in optimizing the performance of pre-trained LLMs. It involves further training the model on a smaller, more specific dataset tailored to a particular task or domain. This process allows Read more…
Starburst Brings AI Agents Into Data Platform
Starburst is adding agentic AI capabilities to its platform, including a pre-built agent for insight exploration as well as tools and tech for building custom agents. It also added a new data catalog, moved a number of p Read more…
Informatica Goes All-In on AI Agents for Data Management
Informatica made a series of agentic AI announcements today at its annual user conference today in Las Vegas, including the introduction of AI Agent Engineering, a new offering that will enable customers to build their o Read more…
SuperAnnotate and the Quest for Superior AI Training Data
If data is the source of AI, then it follows that the best data creates the best AI. But where does one find ultra high-quality data? According to the folks at SuperAnnotate, that type of data does not exist naturally. I Read more…
Vendors Rush to Adopt MCP, the USB-C Cord for AI Integration
When Anthropic unveiled Model Context Protocol (MCP) last fall, it didn’t make a whole lot of headlines. Nearly six months later, the new protocol is the talk of the town as one data infrastructure vendor after another Read more…
Are We Putting the Agentic Cart Before the LLM Horse?
Agentic AI has been cast as the next big wave of technological innovation that will fundamentally transform how work gets done. Powered by a new class of increasingly accurate and reliable reasoning models, AI agents wil Read more…
Accelerating Agentic AI Productivity with Enterprise Frameworks
As the AI wave starts to crest, companies are looking for ways to help accelerate their AI projects before the wave washes over them. One of the ways companies can get ahead is by adopting tools and frameworks upon which Read more…
ServiceNow Nabs LLM-Powered Chatbot Pioneer Moveworks for $2.85B
Long before ChatGPT ignited the generative AI revolution, a company called Moveworks was busy using a promising new family of language models to help solve tough technological problems in customer service. All that work Read more…
Data Warehousing for the (AI) Win
Has the data warehouse lost its luster? Have dashboards fallen out of fashion? They have and they are, according to Eldad Farkash, the CEO and co-founder of Firebolt. What’s driving sales of the humble data warehouse t Read more…
Gartner Giveth Guidance on Data & Analytics, And We Taketh
Gartner arguably is the most respected IT analyst firm on the planet, so when its analysts and VPs share what they’re thinking, as they did during the company’s Data & Analytics Summit this week, it’s worth tak Read more…
When Will Large Vision Models Have Their ChatGPT Moment?
The launch of ChatGPT in November 2022 was a watershed moment in natural language processing (NLP), as it showcased the startling effectiveness of the transformer architecture for understanding and generating textual dat Read more…
What Are Reasoning Models and Why You Should Care
The meteoric rise of DeepSeek R-1 has put the spotlight on an emerging type of AI model called a reasoning model. As generative AI applications move beyond conversational interfaces, reasoning models are likely to grow i Read more…
LOTUS Promises Fast Semantic Processing on LLMs
Researchers at Stanford University and UC Berkeley recently announced the version 1.0 release of LOTUS, an open source query engine designed to make LLM-powered data processing fast, easy, and declarative. The project’ Read more…
The Top 2025 GenAI Predictions, Part 2
Generative AI is the most promising technology of our generation, but it’s also proving difficult for organizations to use in an effective and profitable manner. That enigma makes GenAI rich ground for commentary and f Read more…
Dataiku Report Predicts Key AI Trends for 2025
As we step into 2025, GenAI continues to establish itself as a transformative force, redefining industries and pushing the boundaries of innovation. This year promises to be a milestone in AI advancements, with GenAI lea Read more…
Developing a Trust Layer for AI Systems
Despite the hype around generative AI, studies show just a fraction of GenAI projects have made it into production. A big reason for this shortfall is the concern organizations have about the tendency for large language Read more…
Beyond the Buzz: How Enterprises Can Leverage GenAI for Tangible Results
The public release of ChatGPT in November 2022 set off a wave of hype over generative AI (GenAI) unlike anything seen in the technology sector since the introduction of the public Internet. Now, almost two years later, i Read more…
Nvidia Touts Lower ‘Time-to-First-Train’ with DGX Cloud on AWS
Customers have a lot of options when it comes to building their generative AI stacks to train, fine-tune, and run AI models. In some cases, the number of options may be overwhelming. To help simplify the decision-making Read more…
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