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Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Google‘s recent decision to hide the raw reasoning tokens of its flagship model, Gemini 2.5 Pro, has sparked a fierce backlash from developers who have been relying on that transparency to build…
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For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence. As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI…
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Pandas , NumPy , and Scikit-learn . Source link
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This post is divided into five parts; they are: • Understanding Positional Encodings • Sinusoidal Positional Encodings • Learned Positional Encodings • Rotary Positional Encodings (RoPE) • Relative Positional Encodings Consider these two sentences: “The fox jumps over the dog” and “The dog jumps over the fox”. Source link
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Machine learning workflows often involve a delicate balance: you want models that perform exceptionally well, but you also need to understand and explain their predictions. Source link
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Meta’s $14.8 billion investment in Scale AI – and the hiring of the startup’s CEO – is drawing attention to how US regulators will handle acquihire-style deals under the Trump administration. The deal gives Meta a 49% nonvoting stake in Scale AI, which hires gig workers to label training data for AI systems. Scale’s clients…
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This post is divided into three parts; they are: • Interpolation and Extrapolation in Sinusoidal Encodings and RoPE • Interpolation in Learned Encodings • YaRN for Larger Context Window Sinusoidal encodings excel at extrapolation due to their use of continuous functions: $$ \begin{aligned} PE(p, 2i) &= \sin\left(\frac{p}{10000^{2i/d}}\right) \\ PE(p, 2i+1) &= \cos\left(\frac{p}{10000^{2i/d}}\right) \end{aligned} $$ You…
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Hugging Face has added Groq to its AI model inference providers, bringing lightning-fast processing to the popular model hub. Speed and efficiency have become increasingly crucial in AI development, with many organisations struggling to balance model performance against rising computational costs. Rather than using traditional GPUs, Groq has designed chips purpose-built for language models. The…
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If you’ve been using large language models like GPT-4 or Claude, you’ve probably wondered how they can write actually usable code, explain complex topics, or even help you debug your morning coffee routine (just kidding!). Source link
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AI has moved beyond experimentation to become a core part of business operations, but deployment challenges persist. Research from Zogby Analytics, on behalf of Prove AI, shows that most organisations have graduated from testing the AI waters to diving in headfirst with production-ready systems. Despite this progress, businesses are still grappling with basic challenges around…