💼 Institutional-Grade Arsenal: The world of hedge funds and institutional investing has long been shrouded in secrecy, with proprietary tools and strategies giving professionals a significant edge. However, the democratization of AI is changing this landscape, making powerful investment intelligence accessible to retail investors. Here’s a look at the tools that were once exclusive to Wall Street elites but are now available to those who know where to look. Real-Time Intel: BigData.
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Discover the institutional-grade AI tools that are transforming investment strategies and how retail investors can leverage them for better returns.
Learn how to build a RAG chatbot without any programming in just 45 minutes. Perfect for learning or creating solutions for an AI product manager portfolio.
Building a RAG Chatbot in 45 Minutes: A No-Code Guide I built a RAG (Retrieval-Augmented Generation) chatbot in just 45 minutes—without writing a single line of code. This is an excellent way to learn or create a solution for an AI product manager portfolio. But how does it actually work? First, RAG isn’t just about vector storage. It can retrieve information from various data sources like Google Drive, SQL databases, or plain text files.
Key insights from Sequoia Capital's private AI Ascent 2025 revealing how outcome-based pricing and vertical AI agents will dominate the next phase of artificial intelligence
The third Sequoia Capital AI Ascent just wrapped up in San Francisco. After watching all the available footage on YouTube, it’s clear there were some game-changing insights—essential reading for any AI founder or industry professional. 1. The Shift in Revenue Logic: Selling Outcomes, Not Tools AI isn’t about selling software—it’s about selling results. Pricing is shifting from features to outcomes. Old model: A CRM sells “customer management tools.” New model: An AI-driven CRM agent sells “X closed deals per month.
Most companies fail at AI adoption because they treat it as a standalone tool. Feishu’s new Knowledge Q&A feature shows what seamless, workflow-native AI looks like.
The Hard Truth About AI in the Workplace Slapping a chatbot into your company Slack isn’t “AI adoption.” Too many businesses make these mistakes: AI becomes just another tab employees forget to open. Models improve, but answers stay generic — no deep alignment with actual work. Information chaos persists because AI isn’t wired into daily workflows. The root issue? AI is often bolted on, not built in. Feishu’s Fix: AI That Works Where You Work Enter Feishu (Lark) Knowledge Q&A, launched today.
How Open Source Became China’s Best AI Strategy
Alibaba just unveiled Qwen 3, its latest open-source large language model (LLM), and its flagship Qwen3-235B-A22B now rivals DeepSeek R1, Grok-3, and Gemini-2.5-Pro in benchmarks. With hybrid inference and enhanced Agent capabilities, Qwen 3 signals a shift — open source is China’s key to global AI dominance. The New Open-Source Power Duo: Qwen + DeepSeek For years, the open-source LLM ecosystem was ruled by Meta’s Llama and Mistral. But today, DeepSeek and Qwen are taking over.
This blog summarizes a speech by OpenAI Agent Researcher Yao Shunyu at CS 224N and Columbia University.
We delve into the transformative ideas presented by OpenAI Agent Researcher Yao Shunyu during his discussions at CS 224N and Columbia University. We Stand at the Midpoint of AI For decades, the crux of AI has revolved around developing innovative training methods and models. This trajectory has proven effective: from defeating international chess and Go champions to outperforming most on SATs and bar exams, winning gold medals at IMO (International Mathematical Olympiad) and IOI (International Olympiad in Informatics) — milestones like DeepBlue, AlphaGo, GPT-4, and the O series were born from underlying training method innovations, including search, deep RL, scaling, and reasoning.
AI stole the show at this year's Product Hunt Awards. Check out the winners and why they are so great.
This year’s Product Hunt Golden Kitty Awards are a love letter to AI—and developers are eating good. From code assistants to synthetic video wizards, tools that blend human creativity with machine speed dominated the rankings. Let’s break down the winners (and why your workflow needs them yesterday). Top Dog: Cursor The AI Pair Programmer That Just Gets You Forget clunky IDEs. Cursor, crowned Product of the Year, is where coding meets conversation.
Check out the best AI-powered website builders and how they work.
AI-powered website creation platforms are revolutionizing how products are built. Tools like Bolt, Lovable, and v0 are capturing the attention of both technical and non-technical users alike. Public data reveals that Bolt has already hit an annualized revenue of 20 million, while Lovable reached 10 million in annualized revenue just two months after launching its commercialization efforts. A new paradigm in application development, powered by large language models (LLMs), is emerging.
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