How I Built AI Agents That Actually Help Evaluate Private Companies
Author(s): Jitesh Prasad Gurav Originally published on Towards AI. Why I Started This Journey As someone who's spent years working with private company evaluations, I've always been frustrated by the same recurring problems. No matter how smart the analysts or how much …
TAI #164: Generative AI Monetization Accelerates As ChatGPT Weekly Active Users Hit 13% of the Global Online Population
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie Evidence of the LLM industry’s transition from research and hype to tangible revenue and adoption accumulated further this week. After years of GPU splurges …
Top 10 Vision Language Models in Trend
Author(s): Jennifer Wales Originally published on Towards AI. Discover the top Vision Language Models transforming AI’s ability to see and understand various data types. Learn how they work through their applications. Ever searched for something on your phone by taking a picture …
LAI #87: Recurrent Memory, Agentic RAG, and Evaluating LLM Writing
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue highlights how researchers and the community are stretching what’s possible across architectures, workflows, and open collaboration. We look at: A new class of recurrent networks …
Responsible AI: Why “Trustworthy” Is Not Enough and What Leaders Must Do Now
Author(s): Shane Culbertson Originally published on Towards AI. Responsible AI — Balancing Ethics and Technology. I have sat in too many boardrooms where AI was discussed like just another line item, an optimization tool, a cost-saver, a shiny new capability. What rarely …
AI Agents for Legal: Implementing Complex Document Search and Reasoning Agent using Qdrant and Llamaindex
Author(s): Sachin Khandewal Originally published on Towards AI. Introduction Legal documents are notoriously complex. Their dense language, intricate structures, and reliance on precedent make them challenging to parse, even for seasoned professionals. This complexity creates significant bottlenecks in the legal industry, where …
TAI #165: GPT-5’s Mixed Reception
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie After months of intense hype and speculation, OpenAI finally released GPT-5, arguably the most anticipated AI model launch of the year. Perhaps, they set …
Introducing Grok 4: Everything to Know About Smarter and Powerful AI
Author(s): Jennifer Wales Originally published on Towards AI. Explore Grok 4 by xAI, Elon Musk’s powerful AI with multimodal support, real-time X integration, and advanced reasoning. See how it compares with other leading AI chatbots The world of AI and chatbots has …
TAI #167: US and China’s Open-Weight Divergence; Do You Really Need Open-Weight LLMs?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The open-weight LLM ecosystem saw another major release this week with DeepSeek-V3.1, an upgrade introducing a hybrid “Think/Non-Think” inference mode for better control over …
LAI #88: GNNs for Knowledge Graphs, DSPy Signatures, and How LLMs Are Really Trained
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue spans from deep technical builds to thought-provoking social insights. Our feature dives into Graph Neural Networks for knowledge graphs, showing how to generate powerful node …
TAI #166: The GenAI Paradox: Superhuman Models but Mixed Success with Enterprise AI Developments
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie Now that the dust has settled on GPT-5’s release, we’re seeing specific tasks where the new model adds substantial value, and the first wave …
Introduction to RAG: Basics to Mastery. 1-Build Your Own Local RAG Pipeline (No Cloud, No API Keys)
Author(s): Taha Azizi Originally published on Towards AI. Part 1 of the mini-series introduction to RAG A step-by-step guide to running Retrieval-Augmented Generation fully offline with Ollama, ChromaDB, and SentenceTransformers. Introduction Large Language Models (LLMs) are powerful, but they come with two …
LAI #89: The Rise of LLM Developers, Smarter Search Engines, and Multi-Agent Patterns
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we’re diving into the new role shaping AI development, the LLM Developer, sitting between software engineers and ML specialists, where prompts, fine-tuning, and system design come …
Introduction to RAG: Basics to Mastery.2-Hybrid RAG, Combining Semantic & Keyword Search for Better Retrieval
Author(s): Taha Azizi Originally published on Towards AI. Part 2 of the mini-series introduction to RAG Introduction In Article 1, we built a basic local RAG pipeline using embeddings and a vector database.While semantic search is powerful, it can sometimes miss results …
Why a $1.2M AI Project Failed (And How to Avoid the Same Mistake)
Author(s): Kapil Viren Ahuja Originally published on Towards AI. I spent 2 hours recently reviewing quarterly AI project reports. Demo after demo looked impressive. Business cases appeared compelling. Success metrics seemed strong. Then someone asked about operational costs. As one engineering leader …
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