According to DeepLearning.AI, Meta has introduced LlamaFirewall, a comprehensive toolkit designed to defend large language model (LLM) agents against jailbreaking, goal hijacking, and vulnerabilities in generated code. This open-source solution is now available for free to any project with up to 700 million monthly active users, making robust AI security more accessible than ever. The toolkit targets critical challenges in LLM deployment by offering advanced detection and mitigation tools, which are essential for enterprise adoption and regulatory compliance. Meta’s move is expected to accelerate safe integration of AI agents in business applications and drive innovation in AI security solutions (source: DeepLearning.AI, Sep 16, 2025).

According to DeepLearning.AI on Twitter, DeepLearning.AI has partnered with Meta to launch a new course, 'Building with Llama 4', designed to give AI developers practical experience with the Llama 4 family of large language models. The course covers how to leverage the Mixture-of-Experts (MOE) architecture and utilize the official Llama 4 API for developing real-world AI applications. This initiative demonstrates a growing trend in the AI industry to provide hands-on, up-to-date training for developers, and highlights business opportunities for organizations looking to integrate advanced generative AI models into their products and services (Source: DeepLearning.AI Twitter, June 23, 2025).

According to Laurent Solly (@laurentsolly), Meta’s FAIR (Fundamental AI Research) lab has become a central pillar in the French AI ecosystem, driving ambitious research projects and fostering collaboration with leading universities and startups. The FAIR lab in Paris has accelerated breakthroughs in natural language processing and computer vision, supporting France’s position as a European AI innovation hub. This strategic investment by Meta not only advances cutting-edge AI models but also creates opportunities for local talent and industry partnerships, reinforcing France’s global competitiveness in artificial intelligence (Source: @laurentsolly, Twitter, May 23, 2025).