Author(s): Barrett Studdard Originally published on Towards AI. Use LangGraph and ElevenLabs generate podcast episodes LLMs made available by companies such as OpenAI, Anthropic, Google, and others can be useful for learning new things. I enjoy listening to podcasts and audiobooks, but …

Author(s): Leapfrog Technology Originally published on Towards AI. Written by Manu Chatterjee, Head of AI at Leapfrog Technology In our ongoing series on Generative AI (GenAI) security, we’ve explored the broad challenges and unique vulnerabilities these systems introduce into enterprise environments. Today, …

Author(s): Parsa Kohzadi Originally published on Towards AI. The company that built the grid that powers them all. Here’s why Databricks is becoming Silicon Valley’s ultimate AI powerhouse. Most people have never touched Databricks. Hell, most couldn’t even tell you what the …

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The rapid pace of AI model releases continued this week, with Google in particular pushing new capabilities into the hands of developers. Its text-to-video …

Author(s): Edgar Bermudez Originally published on Towards AI. Introduction: Why does vector search need to go local? As AI tools continue to evolve, many of the applications we use daily, like recommendation engines, image search, and chat-based assistants, rely on vector search. …

Author(s): Kaushik Rajan Originally published on Towards AI. A deep dive into the research that explains why AI hallucinations are an inherent feature of Large Language Models, not just a bug. You’ve probably seen it before. You ask an AI chatbot a …

Author(s): Kenny Vaneetvelde Originally published on Towards AI. Control is All You Need: Why Most AI Systems & Agents Fail in the Real World, and How to Fix It If you’ve spent any time on social media the past few months, you’ve …

Author(s): MD. SHARIF ALAM Originally published on Towards AI. Figure: Even as I write this piece about the ethical use of data and AI, the header image I used comes from the very kind of dataset practices I’m critiquing. This contradiction highlights …

Author(s): Parsa Kohzadi Originally published on Towards AI. Was this an upgrade or a downgrade? On August 7, OpenAI dropped GPT-5, and goddamn, the headlines came fast. Hype swelled, benchmarks soared, and Twitter exploded. Multimodal reasoning across text, voice, and images. A …

Author(s): Ilyas Iyoob, PhD Originally published on Towards AI. What if I told you that you could cut your AI spend by 80%… and still get the same or even better results? Over the past year and a half, working with executives …

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week’s issue highlights how reinforcement learning and modular architectures are reshaping AI systems. We feature new research applying RL to sequential market basket decisions, showing how Q-learning …

Author(s): Shivang Doshi Originally published on Towards AI. Image generated using ChatGPT Why you should care Large‑language models (LLMs) are now embedded in products that answer emails, summarise documents and write code. They do this by ingesting two things: model weights (often …

Author(s): Souradip Pal Originally published on Towards AI. A RAG-based pipeline where Perplexity reasons, Serper finds, Pinecone remembers, Azure OpenAI creates, and Streamlit presents. Have you ever read a news story and thought, “Wow, this should be a movie!”? A daring heist, …

Author(s): MKWriteshere Originally published on Towards AI. Why state-of-the-art search models fail on complex queries — and what to build instead Your AI Search works until it doesn’t. Image Generated by Author Using Gpt-5This article discusses the limitations of current AI search …