Tag: llms
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Simon Willison’s Weblog: Quoting Drew Breunig
Source URL: https://simonwillison.net/2025/Apr/10/drew-breunig/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Drew Breunig Feedly Summary: The first generation of AI-powered products (often called “AI Wrapper” apps, because they “just” are wrapped around an LLM API) were quickly brought to market by small teams of engineers, picking off the low-hanging problems. But today, I’m seeing teams of domain…
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The Register: Return of Redis creator bears fruit with vector set data type
Source URL: https://www.theregister.com/2025/04/10/return_of_redis_creator/ Source: The Register Title: Return of Redis creator bears fruit with vector set data type Feedly Summary: LLM query caching also lands soon The return of Redis creator Salvatore Sanfilippo has borne fruit in the form of a new data type – vector sets – for the widely used cache-turned-multi-model database.… AI…
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Simon Willison’s Weblog: LLM pricing calculator (updated)
Source URL: https://simonwillison.net/2025/Apr/10/llm-pricing-calculator/#atom-everything Source: Simon Willison’s Weblog Title: LLM pricing calculator (updated) Feedly Summary: LLM pricing calculator (updated) I updated my LLM pricing calculator this morning (Claude transcript) to show the prices of various hosted models in a sorted table, defaulting to lowest price first. Amazon Nova and Google Gemini continue to dominate the lower…
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Cloud Blog: Introducing BigQuery unified governance: universal, intelligent, and open
Source URL: https://cloud.google.com/blog/products/data-analytics/announcing-intelligent-unified-governance-in-bigquery/ Source: Cloud Blog Title: Introducing BigQuery unified governance: universal, intelligent, and open Feedly Summary: Data is the critical foundation for AI, yet a vast amount of data’s potential remains untapped. Why? Data quality remains a top barrier. To use enterprise data to drive analytics-driven decisions and build differentiated AI, businesses need to…
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Cloud Blog: High performance storage innovations for your AI workloads
Source URL: https://cloud.google.com/blog/products/storage-data-transfer/high-performance-storage-innovations-for-ai-hpc/ Source: Cloud Blog Title: High performance storage innovations for your AI workloads Feedly Summary: The high-performance storage stack in AI Hypercomputer incorporates learnings from geographic regions, zones, and GPU/TPU architectures, to create an agile, economical, integrated storage architecture. Recently, we’ve made several innovations to improve accelerator utilization with high-performance storage, helping you…
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Cloud Blog: New GKE inference capabilities reduce costs, tail latency and increase throughput
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/understanding-new-gke-inference-capabilities/ Source: Cloud Blog Title: New GKE inference capabilities reduce costs, tail latency and increase throughput Feedly Summary: When it comes to AI, inference is where today’s generative AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing increasing adoption of gen AI inference. For example, customers like HubX run…
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Simon Willison’s Weblog: llm-fragments-go
Source URL: https://simonwillison.net/2025/Apr/10/llm-fragments-go/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-go Feedly Summary: llm-fragments-go Filippo Valsorda released the first plugin by someone other than me that uses LLM’s new register_fragment_loaders() plugin hook I announced the other day. Install with llm install llm-fragments-go and then: You can feed the docs of a Go package into LLM using the…
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Cloud Blog: Introducing Ironwood TPUs and new innovations in AI Hypercomputer
Source URL: https://cloud.google.com/blog/products/compute/whats-new-with-ai-hypercomputer/ Source: Cloud Blog Title: Introducing Ironwood TPUs and new innovations in AI Hypercomputer Feedly Summary: Today’s innovation isn’t born in a lab or at a drafting board; it’s built on the bedrock of AI infrastructure. AI workloads have new and unique demands — addressing these requires a finely crafted combination of hardware…
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Simon Willison’s Weblog: An LLM Query Understanding Service
Source URL: https://simonwillison.net/2025/Apr/9/an-llm-query-understanding-service/#atom-everything Source: Simon Willison’s Weblog Title: An LLM Query Understanding Service Feedly Summary: An LLM Query Understanding Service Doug Turnbull recently wrote about how all search is structured now: Many times, even a small open source LLM will be able to turn a search query into reasonable structure at relatively low cost. In…
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CSA: Secure Vibe Coding Guide
Source URL: https://cloudsecurityalliance.org/blog/2025/04/09/secure-vibe-coding-guide Source: CSA Title: Secure Vibe Coding Guide Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses “vibe coding,” an AI-assisted programming approach where users utilize natural language to generate code through large language models (LLMs). While this method promises greater accessibility to non-programmers, it brings critical security concerns as AI-generated…