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Once we get past the disappointment that AI can’t solve everything, we can use it for things it’s actually good at.
Despite AI's explosive growth, the industry still needs to face facts that customers are unhappy about costs and vendor lock-in.
Microsoft is adding a fast vector search index to Windows. It’s tailor-made for fast, local small language models like Phi Silica.
AWS researchers have developed a new method for designing an automated RAG evaluation mechanism that could help enterprises build apps faster and reduce costs.
Serverless was a big deal for a hot minute, but now it seems old-fashioned, even though its basic elements, agility and scalability, are still relevant.
Submission Deadline: Friday August 30, 2024 5:00PM ET
The new grounding features will help enterprises to reduce hallucinations across their generative AI-based apps and agents, the company says.
Cloud-based generative AI systems that use too many resources turn out to be too complex and expensive. Here’s how you can avoid this.
eBPF allows users to load and safely run custom programs within the Linux kernel, without requiring direct changes to the kernel itself. The possibilities are endless.
To create effective machine learning and deep learning models, you need copious amounts of data, a way to clean the data, and a way to train them, deploy them, and keep them updated. The cloud is usually the best platform for this, but not always.