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A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets. Their framework, LIMI (Less Is More for Intelligent Agency), builds on similar work in other areas of LLM research and finds that “machine autonomy …

New AI training method creates powerful software agents with just 78 examples Read More »

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, Transform, Load) data pipelines to move it into analytical systems. Those pipelines require dedicated data engineering teams, break frequently and create delays measured in …

Databricks set to accelerate agentic AI by up to 100x with ‘Mooncake’ technology — no ETL pipelines for analytics and AI Read More »

In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own hands-on performance testing, reveals an industry paradox: developers want speed, but enterprise buyers demand security, compliance and deployment control. This disconnect is reshaping …

GitHub leads the enterprise, Claude leads the pack—Cursor’s speed can’t close Read More »

Microsoft’s multi-agent framework, AutoGen, acts as the backbone for many enterprise projects, particularly with the release of AutoGen v0.4 in January.  However, the company aims to harmonize all of its agent framework offerings and bring more observability capabilities to the forefront as well. Microsoft released the Agent Framework on public preview, which will now essentially …

Microsoft retires AutoGen and debuts Agent Framework to unify and govern enterprise AI agents Read More »

Presented by HubSpot INBOUND, HubSpot’s annual conference for marketing and sales professionals, took place in San Francisco this year, with three days of insights and events across marketing, sales, CX, and AI innovation. It was a mix of the new, like the Creators Corner and the Tech Stack Showcase Stage, and the familiar, like HubSpot …

HubSpot’s Dharmesh Shah on AI mastery: Why prompts, context, and experimentation matter most Read More »

IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost requirements. Despite being one of the oldest active tech companies in the U.S. (founded in 1911, 114 years ago!), “Big Blue” as its …

‘Western Qwen’: IBM wows with Granite 4 LLM launch and hybrid Mamba/Transformer architecture Read More »

Salesforce Inc. is expanding its artificial intelligence platform with new data management and governance capabilities, aiming to address what the company says is a crisis in enterprise AI adoption where more than 80% of projects fail to deliver meaningful business value. The San Francisco-based software giant announced Thursday a suite of new tools designed to …

Salesforce launches AI ‘trust layer’ to tackle enterprise deployment failures plaguing 80% of projects Read More »

Google wants its coding assistant, Jules, to be far more integrated into developers’ terminals than ever. The company wants to make it a more workflow-native tool, hoping that more people will use it beyond the chat interface.  Jules, which the company first announced in December 2024, will gain two new features: a Jules API to …

Google’s Jules coding agent moves beyond chat with new command line and API Read More »

M2N2 is a model merging technique that creates powerful multi-skilled agents without the high cost and data needs of retraining. M2N2 is a model merging technique that creates powerful multi-skilled agents without the high cost and data needs of retraining.Read More

Software spending now makes up 40% of cybersecurity budgets, with investment expected to grow as CISOs prioritize real-time AI defenses. Software spending now makes up 40% of cybersecurity budgets, with investment expected to grow as CISOs prioritize real-time AI defenses.Read More