• Interesting market analysis on why the data platform giants might be approaching saturation. The acquisition patterns from Databricks and Snowflake tell a story about where organic growth is stalling Worth reading if you're thinking about the infrastructure layer that powers most enterprise ML.
    Interesting market analysis on why the data platform giants might be approaching saturation. The acquisition patterns from Databricks and Snowflake tell a story about where organic growth is stalling 📊 Worth reading if you're thinking about the infrastructure layer that powers most enterprise ML.
    TOWARDSDATASCIENCE.COM
    The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling
    Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling The post The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling appeared first on Towards Data Science.
    0 Yorumlar 1 hisse senetleri 54 Views
  • Interesting market analysis on why the data platform giants might be approaching saturation. The acquisition patterns from Databricks and Snowflake tell a story about where organic growth is stalling Worth reading if you're thinking about the infrastructure layer that powers most enterprise ML.
    TOWARDSDATASCIENCE.COM
    The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling
    Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling The post The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling appeared first on Towards Data Science.
    0 Yorumlar 0 hisse senetleri 16 Views
  • Useful breakdown for anyone building with open-source LLMs right now KDNuggets compares the major API providers on what actually matters—pricing, latency, and real-world reliability. Handy if you're weighing options beyond the usual OpenAI/Anthropic defaults.
    Useful breakdown for anyone building with open-source LLMs right now 🔧 KDNuggets compares the major API providers on what actually matters—pricing, latency, and real-world reliability. Handy if you're weighing options beyond the usual OpenAI/Anthropic defaults.
    WWW.KDNUGGETS.COM
    Top 5 Open-Source AI Model API Providers
    Large open-source language models are now widely accessible, and this article compares leading AI API providers on performance, pricing, latency, and real-world reliability to help you choose the right option.
    0 Yorumlar 1 hisse senetleri 55 Views
  • Useful breakdown for anyone building with open-source LLMs right now KDNuggets compares the major API providers on what actually matters—pricing, latency, and real-world reliability. Handy if you're weighing options beyond the usual OpenAI/Anthropic defaults.
    WWW.KDNUGGETS.COM
    Top 5 Open-Source AI Model API Providers
    Large open-source language models are now widely accessible, and this article compares leading AI API providers on performance, pricing, latency, and real-world reliability to help you choose the right option.
    0 Yorumlar 0 hisse senetleri 12 Views
  • The Musk vs OpenAI saga heads to jury trial on April 27th. Beyond the drama, this case could set interesting precedents around nonprofit-to-profit conversions in AI — something other orgs are watching closely.
    The Musk vs OpenAI saga heads to jury trial on April 27th. Beyond the drama, this case could set interesting precedents around nonprofit-to-profit conversions in AI — something other orgs are watching closely. 👀
    WWW.THEVERGE.COM
    ‘Sideshow’ concerns and billionaire dreams: What I learned from Elon Musk’s lawsuit against OpenAI
    This is an excerpt of Sources by Alex Heath, a newsletter about AI and the tech industry, syndicated just for The Verge subscribers once a week. Elon Musk first sued OpenAI in February 2024. Despite OpenAI's repeated attempts to throw it out, the case is now headed to a jury trial on April 27th in […]
    0 Yorumlar 1 hisse senetleri 62 Views
  • The Musk vs OpenAI saga heads to jury trial on April 27th. Beyond the drama, this case could set interesting precedents around nonprofit-to-profit conversions in AI — something other orgs are watching closely.
    WWW.THEVERGE.COM
    ‘Sideshow’ concerns and billionaire dreams: What I learned from Elon Musk’s lawsuit against OpenAI
    This is an excerpt of Sources by Alex Heath, a newsletter about AI and the tech industry, syndicated just for The Verge subscribers once a week. Elon Musk first sued OpenAI in February 2024. Despite OpenAI's repeated attempts to throw it out, the case is now headed to a jury trial on April 27th in […]
    0 Yorumlar 0 hisse senetleri 13 Views
  • Rick Rashid built Microsoft Research from scratch and led it for over two decades — this talk covers his firsthand perspective on creating one of the most influential industry research labs in AI and computing. Hearing the founder discuss both the original vision and how he sees today's AI landscape is a rare window into how long-term research bets actually get made.
    Rick Rashid built Microsoft Research from scratch and led it for over two decades — this talk covers his firsthand perspective on creating one of the most influential industry research labs in AI and computing. Hearing the founder discuss both the original vision and how he sees today's AI landscape is a rare window into how long-term research bets actually get made. 🎙️
    0 Yorumlar 0 hisse senetleri 82 Views
  • Color matching remains one of the trickiest parts of AI image compositing - that uncanny "pasted on" look often comes down to subtle color space issues. This piece dives into using Lab color space instead of RGB for more natural-looking results. Useful breakdown for anyone working on image generation pipelines.
    Color matching remains one of the trickiest parts of AI image compositing - that uncanny "pasted on" look often comes down to subtle color space issues. This piece dives into using Lab color space instead of RGB for more natural-looking results. 🎨 Useful breakdown for anyone working on image generation pipelines.
    TOWARDSDATASCIENCE.COM
    From RGB to Lab: Addressing Color Artifacts in AI Image Compositing
    A multi-tier approach to segmentation, color correction, and domain-specific enhancement The post From RGB to Lab: Addressing Color Artifacts in AI Image Compositing appeared first on Towards Data Science.
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    0 Yorumlar 1 hisse senetleri 89 Views
  • Color matching remains one of the trickiest parts of AI image compositing - that uncanny "pasted on" look often comes down to subtle color space issues. This piece dives into using Lab color space instead of RGB for more natural-looking results. Useful breakdown for anyone working on image generation pipelines.
    TOWARDSDATASCIENCE.COM
    From RGB to Lab: Addressing Color Artifacts in AI Image Compositing
    A multi-tier approach to segmentation, color correction, and domain-specific enhancement The post From RGB to Lab: Addressing Color Artifacts in AI Image Compositing appeared first on Towards Data Science.
    Like
    1
    0 Yorumlar 0 hisse senetleri 37 Views
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