Remove AI Development Remove Chatbots Remove Explainability
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Gemma 3: Google launches its latest open AI models

AI News

Dubbed the “Gemmaverse,” this ecosystem signals a thriving community aiming to democratise AI. “The Gemma family of open models is foundational to our commitment to making useful AI technology accessible,” explained Google. Many competitors demand up to 32 GPUs to deliver comparable performance.

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Grok 3: The next-gen ‘truth-seeking’ AI model

AI News

The early version of Grok 3 is also currently leading on Chatbot Arena, a crowdsourced evaluation platform where users pit AI models against one another and rank their outputs. Guarding against AI distillation Interestingly, not all of Grok 3s internal processes are laid bare to users.

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Generative AI in the Healthcare Industry Needs a Dose of Explainability

Unite.AI

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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Bridging the AI Agent Gap: Implementation Realities Across the Autonomy Spectrum

Unite.AI

Technical Challenges by Autonomy Level L0-L1: Foundation Building Most production AI systems today operate at these levels, with 51.4% of teams developing customer service chatbots and 59.7% L2: The Current Frontier This is where cutting-edge development is happening now, with 59.7% This explains why 53.5%

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When AI chatbots break bad

IBM Journey to AI blog

AI whisperers” are probing the boundaries of AI ethics by convincing well-behaved chatbots to break their own rules. Known as prompt injections or “jailbreaks,” these exploits expose vulnerabilities in AI systems and raise concerns about their security.

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AI’s Inner Dialogue: How Self-Reflection Enhances Chatbots and Virtual Assistants

Unite.AI

Recently, Artificial Intelligence (AI) chatbots and virtual assistants have become indispensable, transforming our interactions with digital platforms and services. Self-reflection is particularly vital for chatbots and virtual assistants. Fine-tuning these models adapts them to tasks such as generating chatbot responses.

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Databricks + Snorkel Flow: integrated, streamlined AI development

Snorkel AI

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform. Sign up here!