Close

Explore AI

Explore GPTs

Explore AI News

Explore AI Videos

Explore AI for Jobs

Latest Langtrace AI Videos

Find the latest for Langtrace company videos

Follow
... 11:48
One AI Tool To Revolutionize Product Teams! Tempo Labs Overview

AI Tooltip

1+ months ago 2K views

Tempo Labs is an AI coding tool that streamlines the product development process from requirements gathering to production-ready code. It allows designers, even those without coding experience, to create functional designs and collaborate seamlessly with developers. The tool generates product requirement documents, flowcharts, and necessary code for applications using the advanced Claude 3.7 model. It enables real-time design edits and component management, enhancing team collaboration and control over project outcomes. The tool also integrates with GitHub and databases like Supabase, making it a powerful asset for modern product teams.
01:42 - 02:06

AI generates product requirements and flowcharts, streamlining the development process.

Tempo Labs Machine Learning AI Startups
... 15:34
New AI Model "Thinks" Without Using a Single Token

Matthew Berman

1+ months ago 94K views

Recent research introduces a novel approach for large language models (LLMs) that enhances internal reasoning by processing thoughts in latent space before producing any output. This method diverges from traditional Chain of Thought models, enabling LLMs to tackle problems transcending verbal representation. The findings challenge existing beliefs about LLMs' reasoning capabilities, illustrating that planning and reasoning cannot rely solely on linguistic descriptions. By integrating latent reasoning into model architecture, this research aims to develop models capable of deeper understanding and more efficient computations, ultimately moving towards achieving a higher level of artificial general intelligence.
04:29 - 04:59

New architecture enables models to perform thinking before generating outputs.

Machine Learning Research & Innovations
... 8:11
LangChain RAG: Optimizing AI Models for Accurate Responses

IBM Technology

1+ months ago 3K views

LangChain enables retrieval augmented generation (RAG) to enhance large language models (LLMs) by providing up-to-date information from knowledge bases. This process involves setting up a knowledge base with content, a retriever to fetch relevant data, and a generative LLM that uses this context for accurate responses. The tutorial demonstrates how to use IBM's resources for this purpose, detailing steps like creating a vector store from documents, implementing a retriever, and using a generative model for queries about recent events and technologies.
05:57 - 06:02

Sets up a prompt combining LLM instructions and search results.

IBM Natural Language Processing (NLP) Education
... 13:18
Ollama Deep Researcher: Local Web Research Assistant AI Tool

AI Anytime

1+ months ago 1K views

OLama Deep Researcher is introduced as an open-source tool created by the Langin team to assist with research activities. It draws from various data sources to generate search queries, gather results, and synthesize information using large language models (LLMs). The tool functions locally and requires an API key from either Tavaly or Perplexity for optimal operation. The setup process is straightforward, involving cloning a repository and configuring settings. Features include customizable options to enhance research productivity, leveraging multiple resources to support extensive inquiries.
02:01 - 02:28

Tool generates search queries then gathers information from the internet.

Ollama Natural Language Processing (NLP) Research & Innovations
... 7:28
AI Coding Agent Tutorial For Beginners - AI Code Editors in 2025

Kingy AI

1+ months ago 34K views

Code LLM integrates agentic capabilities with large language models, enabling efficient code editing and task handling. Users can access a range of AI models, including the newly released 03 mini high model, for tasks such as explaining and refactoring code. The utility of the tool is underscored by cost-effectiveness compared to existing models like ChatGPT. The seamless integration of chat and agent functionality allows for enhanced interaction with the code editor, making it user-friendly and powerful for both beginners and experienced developers.
02:36 - 02:54

Access to cutting-edge models, including the recently released 03 mini high.

Abacus.AI Chatbots Education
... 8:33
CodeLLM IDE: NEW Autonomous AI Editor - Cursor + Windsurf Alternative! (Route Any LLM NO LIMIT!)

WorldofAI

1+ months ago 5K views

Code LLM by Abacus AI is a groundbreaking AI code editor that enhances developer productivity tenfold. By integrating various large language models with innovative routing technology, it offers extensive coding assistance, debugging capabilities, and code generation features directly within the IDE. Users can utilize specific models for debugging tasks, generate code snippets effortlessly, and streamline workflows with auto-completions. Additionally, the platform facilitates interaction with legacy code and complex challenges, providing a powerful support system for developers. With a subscription of $10 a month, users gain access to a comprehensive suite of AI tools and functionalities.
02:30 - 02:42

Deeps R1 model enhances reasoning tasks and code generation.

Abacus AI Natural Language Processing (NLP) Tech & Hardware
... 6:25
4 Million Context Unlocked: China's NEW AI Breakthrough!!

1littlecoder

1+ months ago 7K views

China's Minia Max has introduced a groundbreaking architecture called Lightning Attention, designed to address scalability issues in large language models. Traditional transformer models face quadratic computational complexity when processing longer text sequences, making them inefficient. Lightning Attention offers a new approach by implementing linear complexity, drastically reducing the computational demands. This innovation, also open-sourced, positions Minia Max as a significant player in the AI field, achieving competitive performance against established models and extending context windows significantly, potentially transforming large language model operations.
02:31 - 03:08

Lightning Attention achieves linear complexity, improving computation efficiency.

MiniMax Neural Network Architectures Research & Innovations
... 4:45
Build Reliable AI Agents with LangGraph

AWS Developers

1+ months ago 1K views

Building reliable AI agents presents significant challenges, and LangChain's new library LangGraph facilitates this process. By integrating various tools, such as ChatAnthropic, developers can visualize and manage agent workflows graphically. LangGraph enables the creation of nodes and edges for defining agent logic, with built-in state variables for information transmission between nodes. The tutorial demonstrates how to implement a simple arithmetic agent and provides insights into testing agents using LangGraph Studio, which offers debugging capabilities and a straightforward deployment process through LangGraph Cloud.
01:26 - 01:51

LangGraph’s state management enables information sharing between agent nodes.

Langchain Machine Learning Education
... 4:45
Build Reliable AI Agents with LangGraph

AWS Developers

1+ months ago 1K views

Building reliable AI agents presents significant challenges, and LangChain's new library LangGraph facilitates this process. By integrating various tools, such as ChatAnthropic, developers can visualize and manage agent workflows graphically. LangGraph enables the creation of nodes and edges for defining agent logic, with built-in state variables for information transmission between nodes. The tutorial demonstrates how to implement a simple arithmetic agent and provides insights into testing agents using LangGraph Studio, which offers debugging capabilities and a straightforward deployment process through LangGraph Cloud.
01:26 - 01:51

LangGraph’s state management enables information sharing between agent nodes.

Langchain Machine Learning Education