Stochastic Pathways of Long-Term Investing: A Control, Learning, and Search Perspective
Author(s): Shenggang Li Originally published on Towards AI. Recasting Incremental Portfolio Strategies through Reinforcement Learning, Inverse Reward Inference, and Monte Carlo Search Investing has always been marked by fragmentation. Decisions are often made in pieces — one stock today, another tomorrow — …
LAI #94: Deep Learning Myths, Multi-Agent Frameworks, and Synthetic Data in Practice
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week, we take a closer look at what deep learning really is — and what it isn’t. Rather than true intelligence, it’s better thought of as sophisticated …
Explaining Tongyi DeepResearch
Author(s): Mengliu Zhao Originally published on Towards AI. What will the future of LLM training be like? Last week, Alibaba Tonyi Lab released its agentic research model, Tongyi DeepResearch, which outperformed OpenAI o3 and DeepResearch on various tasks. Moreover, Tongyi DeepResearch only …
Querying APIs with Graph Intelligence: Agents That Truly Understand
Author(s): Souradip Pal Originally published on Towards AI. Have you ever tried asking a toddler a complex question? In case you’ve missed: Part 1 | Part 2 You say: “Can you get me the red cup from the kitchen, not the blue …
The Complete Guide to Choosing Embedding Models for RAG Applications 🚀
Author(s): MahendraMedapati Originally published on Towards AI. The $10,000 Question That Could Make or Break Your AI App Picture this: You’ve just launched your company’s new AI-powered customer support system. It cost $50,000 to build, took six months to develop, and everyone’s …
6 Game-Changing Open-Source AI Projects You Need to Try Right Now 🚀
Author(s): MahendraMedapati Originally published on Towards AI. The Hook: Why Your Current AI Stack Might Be Holding You Back Picture this: You’re spending $500+ monthly on OpenAI credits, wrestling with complex RAG implementations, and manually fine-tuning models while your competitor just launched …
Accessing the Internet From Local LLM
Author(s): Deepak Krishnamurthy Originally published on Towards AI. Building an Internet-Enabled Local LLM with Tavily and Phi-3 Large language models (LLMs) are everywhere, and their need for up-to-date information is constant. While APIs from companies like Perplexity, Google, and OpenAI offer a …
ReAct Agent Explained
Author(s): Sayanteka Chakraborty Originally published on Towards AI. Introduction to ReAct Agent ReAct stands for Reasoning and Acting, a framework where LLM generate thoughts (reasoning) and actions (tool use) in an interleaved manner. Output:The article discusses the ReAct Agent, which operates on …
7 Reasons Why You Should Care About AI, Especially as a Non-Tech-Savvy
Author(s): Felix Pappe Originally published on Towards AI. Image created by the author using gpt-image-1 Artificial Intelligence is no longer a futuristic concept or a topic reserved for scientists and software developers. It’s already woven into your daily life, whether you realise …
Before Your Next Hiring Round, Use This Notion Agent Playbook
Author(s): R. Thompson (PhD) Originally published on Towards AI. Automate candidate packets, interview briefs, and onboarding checks so hiring scales cleanly How Notion 3.0’s agentic AI turns scattered work into continuous, goal-driven workflows that actually finish the job for you, freeing up …
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