Technology

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.

You’ve also jumped on the Dify.ai bandwagon? Smart move! It’s a seriously cool platform for building AI apps. But, like any powerful tool, it can get a little… expensive if you’re not careful. I’ve been playing around with it for a while now, and I’ve picked up a few tricks to keep my token usage (and my credit card bill) down. Think Before You LLM This is the big one. Every time you hit that “Run” button and the Large Language Model (LLM) spins up, you’re burning tokens.

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.

Deploying Ollama DeepSeek and RAGFlow locally allows you to run powerful natural language processing (NLP) models in your own environment, enabling more efficient data processing and knowledge retrieval. Let’s get started. 1. Environment Preparation First, ensure your local machine meets the following requirements: Operating System: Linux or macOS (Windows is also supported via WSL) Python Version: 3.8 or higher GPU Support (optional): CUDA and cuDNN (for accelerating deep learning models) 2.

Most people are using DeepSeek wrong. After burning the midnight oil testing this thing (and drinking enough coffee to power a small nation), I’ve cracked the code. Forget everything you know about ChatGPT – this is a whole different beast. 1. The Biggest Secret: Ditch the Prompt Templates Don’t use rigid “professional prompt formulas.” DeepSeek thrives on context and purpose, not step-by-step instructions. Take it as a clever intern who needs clear goals, not micromanagement.

Working in a startup is a great experience, but it’s not always easy to find the right one. Here are some tips to help you evaluate a startup before joining: Deep Understanding of the Founding Team: You can never know too much about the founding team. Are they responsive? Can they accurately judge people? Are they humble enough to listen to others’ advice? It is recommended to directly participate in their team meetings, observe their working style, and after a few times, you can judge whether the team is reliable.