Topic: ai

Anthropic introduces prompt caching to reduce latency and costs

Anthropic has introduced a new feature to some of its Claude models that will allow developers to cut down on prompt costs and latency. Prompt caching allows users to cache frequently used context so that it can be used in future API calls. According to the company, by equipping the model with background knowledge and … continue reading

Google begins rolling out voice capabilities in Gemini with Gemini Live

Google is trying to make its AI assistant Gemini more useful by adding a conversation mode called Gemini Live, similar to how conversations in ChatGPT work. Gemini Live has a voice mode, so that users can speak their questions out loud rather than typing. This voice mode works even when the app is in the … continue reading

Open Model Initiative now hosted by Linux Foundation

The Linux Foundation is making it easier for developers to find open-source AI models by hosting the Open Model Initiative (OMI). The OMI was first launched earlier this summer by Invoke, CivitAI, and Comfy Org as a way to help creators find models that don’t have restrictive licenses.  “From the beginning, we have believed that … continue reading

Pros and cons of 5 AI/ML workflow tools for data scientists today

With businesses uncovering more and more use cases for artificial intelligence and machine learning, data scientists find themselves looking closely at their workflow. There are a myriad of moving pieces in AI and ML development, and they all must be managed with an eye on efficiency and flexible, strong functionality. The challenge now is to … continue reading

Dioptra – SD Times Open Source Project of the Week

A few weeks ago, the National Institute of Standards and Technology (NIST) released Dioptra, an open source tool for testing the trustworthiness of AI models.  Dioptra offers a common platform for assessing models throughout their life cycle, from when they are being developed to when they are acquired by other parties who want to then … continue reading

Q&A: 10 emerging technologies to watch in 2024

Every year, Forrester puts together a list of 10 emerging technologies to watch. This year’s list was released in June, and in the most recent episode of our podcast, What the Dev?, we were able to sit down with Brian Hopkins, VP of Emerging Tech Portfolio at Forrester, about the list. Here is an edited … continue reading

Data scientists and developers need a better working relationship for AI

Good teamwork is key to any successful AI project but combining data scientists and software engineers into an effective force is no easy task. According to Gartner, 30 percent of AI projects will be abandoned by the end of 2025 thanks to factors such as poor data quality, escalating costs and a lack of business … continue reading

Qualys addressing LLM security risks with new tool, Qualys TotalAI

Qualys has announced a new tool called Qualys TotalAI that will enable teams to better address the security risks of generative AI.  Specifically, it addresses the issues listed in the OWASP Top 10 for LLMs, which includes things like prompt injection, sensitive information disclosure, and model theft.  According to Qualys, one of the big challenges … continue reading

GitHub Models is a new playground for experimenting with AI models

GitHub is announcing a new sandbox environment — GitHub Models — where developers can experiment with AI models from different providers right from within GitHub. Developers can access models and then test different prompts and model parameters in a playground environment.  “For most of us, learning to be a developer didn’t happen on a linear … continue reading

Trust Agent can show if developers know their stuff

Developers, it appears, will not be replaced by artificial intelligence – at least not yet, anyway. What they will need to do is learn or improve their skills in providing templates for AI, become masters of fixing problems in AI-generated code, and actually learn the best uses for AI in software development. In its current … continue reading

Semantic Kernel’s Agent Framework – SD Times Open Source Project of the Week

Earlier this week, Microsoft introduced the Agent Framework to its open source project Semantic Kernel, an SDK that integrates LLMs with C#, Python, and Java so that developers can incorporate AI features into their apps.   With this new experimental framework, agents are now supported in the platform. According to Microsoft, agents are AI entities that … continue reading

White House is recommending that use of open source AI models not be restricted

The White House is issuing recommendations not to restrict the use of open source AI models, based on a report from the Department of Commerce’s National Telecommunications and Information Administration (NTIA).  The report recommends open models continue to be monitored for potential risks. Part of NTIA’s recommendation is that the government should start an ongoing … continue reading

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