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High-quality voice-cloning and synthetic text-to-speech is going to impact a significant society as well as vast amount of industries + OSS models becoming indistinguishable vs humans: Announcement: resemble.ai/chatterbox/ Audio Generated Samples: resemble-ai.github.io/chatterbox_dem…

Software is undergoing its most fundamental shift in decades, and Andrej Karpathy defines how it’s redefining how we build and interact with machines: Video: youtube.com/watch?v=LCEmiR… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence

Google takes on GenAI security principles, concepts and best practices with a new report on how to secure your AI agents: Paper: research.google/pubs/an-introd… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence

Anthropic worked with dozens of teams building LLM agents and released a set of best practices for building agentic systems with simple composable patterns rather than complex frameworks: Anthropic Report: anthropic.com/engineering/bu… #ML #MachineLearning #ArtificialIntelligence #AI

The State of Engineering Leadership in 2025; management layers # decreasing; negative sentiment on AI productivity +60%; positive improvements in talent & recruitment; really important insights you don't want to miss out: Report: newsletter.eng-leadership.com/p/the-state-of… #ML #MachineLearning #AI

Quantum computing is an exciting emerging field intersecting with AI, and this 200+ page lecture notes distil two decades of theory into a comprehensive roadmap: arxiv.org/abs/1907.09415 #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

Insightful resources in the ML Ecosystem this week! In today's newsletter we dive into Databricks on Unified ML Governance, Ubicloud on vLLM Inference + more 🚀 Check out the deep dives and resources! lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI

In the race to turn massive LLMs into reliable, inference infra is a real competitive edge - but do you know what goes on inside a library like vLLM? Deep dive: ubicloud.com/blog/life-of-a… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

Databricks published their approach to unified ML governance at the recent SIGMOD in Berlin providing an intuitive overview of how they approach this challenge. Publication: dl.acm.org/doi/10.1145/37… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

TPUs are redefining how large-scale AI gets built and powered, and this is a fantastic deep dive into the architecture and concepts across TPUs: Deep Dive: henryhmko.github.io/posts/tpu/tpu.… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

On-device multimodal AI in the open source is seeing some recent leaps, and Google’s Gemma 3n is another contender: Announcement: developers.googleblog.com/en/introducing… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

Your favourite LLM may be hiding malware! An interesting research paper presenting "EvilModel" shows how attackers can embed full binary payloads of malware in any standard LLM for malicious attacks: arxiv.org/abs/2107.08590 #ML #MachineLearning #ArtificialIntelligence #AI #MLOps

Exciting news in the ML Ecosystem this week! If you find these resources interesting, join our newsletter with 70,000+ subscribers, where you will receive weekly news, tutorials, OSS frameworks and events in the machine learning ecosystem: lnkd.in/eRBQzVcA #ML #AI

Microsoft is set out to leverage AI in the medical field to support diagnosis with their latest 304-case sequential-diagnosis benchmark for LLMs: Article: microsoft.ai/new/the-path-t… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

OpenAI has released a comprehensive guide to building agents to empower developers when creating AI-enabled applications beyond chatbots: Report: cdn.openai.com/business-guide… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

Compute is the new oil; McKinsey forecasts that global data-centre capacity must almost triple by 2030, demanding ~$7 trillion in new capital: Report: mckinsey.com/industries/tec… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

Probabilistic data structures such as Bloom Filters are a key concept in distributed systems that we interact with on a daily basis, however there's huge value to understand the internals: Article: llimllib.github.io/bloomfilter-tu… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps

As of today, scale in ML tends to define success across some of the leading players in the space - Google's "Scaling Book" is one of the best resources for this: Scaling Book: jax-ml.github.io/scaling-book/ #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps

Insightful resources on the GenAI & Machine Learning Ecosystem this week! If you find these resources interesting, join our newsletter with 70,000+ subscribers, where you will receive weekly news, tutorials, OSS frameworks and events in the ML ecosystem: lnkd.in/eRBQzVcA

This ~40min keynote from Andrew Ng at Y-Combinator is one of the best overviews for the state of rapid AI prototyping: Video: youtube.com/watch?v=RNJCfi… #ML #MachineLearning #ArtificialIntelligence #AI #MLOps