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... 6:40
Vibe testing OpenAI GPT 4.5

LangChain

1+ months ago 2K views

GBD 4.5 is a chat model focusing on fast, intuitive next-token prediction, distinct from reasoning models that employ reinforcement learning for complex tasks. It excels in interactive cases but not in tasks requiring verifiable answers like STEM problems. While GBD 4.5 shows improvements over prior versions in writing quality and creativity, it remains more expensive than alternative models, presenting a notable price-to-performance challenge for developers needing to justify the cost based on application needs and performance in specific tasks.
02:56 - 03:05

GBD 4.5's pricing is significantly higher compared to earlier models.

OpenAI Natural Language Processing (NLP) Research & Innovations
... 10:56
Code LLM - Build a Web App in Minutes | Use AI-Powered Coding for Fast Development!

Daniel | Tech & Data

1+ months ago 2K views

AI-powered coding assistant Code LLM from Abacus AI streamlines web app development by automating backend and frontend tasks from screenshots. The tool, integrated into a broader AI suite, facilitates the building of a Create, Read, Update, and Delete (CRUD) application using PHP and MySQL. It organizes files, constructs database structures, and provides assistance in code generation and setup. Customization of the application is possible, allowing for troubleshooting and optimizations, particularly through user-friendly interfaces.
02:27 - 02:45

Overview of building a CRUD app with PHP and MySQL, showcasing the AI's role in backend development.

Abacus.AI Machine Learning Education
... 6:12
ON THE RISE! 🔥 Lightchain AI 🔥 PRESALE FOR A HIGH POTENTIAL!

Crypto Legends

1+ months ago 8K views

The video details the use of the Light Chain project's faucet, highlighting its recent updates and features. The faucet allows users to claim LCI test tokens every 24 hours for on-chain transactions and smart contract deployments. Users are encouraged to explore the project further and join the ongoing pre-sale. The current token price and upcoming increases are emphasized, as well as the integration of AI technologies like the Artificial Intelligence Virtual Machine for enhanced blockchain operations. High expectations are set for the Light Chain project's growth and community involvement.
02:03 - 02:20

Users can perform on-chain activities using tokens claimed from the faucet.

Lightchain AI Blockchain AI Startups
... 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
... 11:23
DeepSeek R1 vs OpenAI O1 Model using LangDB's AI Gateway

Bhavesh Bhatt

1+ months ago 5K views

The rapid emergence of new AI models has made the use and comparison of different LLMs a complex challenge due to the lack of a universal API and varying integration requirements among providers. Lang DB addresses these issues by offering a unified interface, allowing seamless interaction with multiple LLMs. It is open-source and compatible with OpenAI's APIs, enabling enterprises to easily test and compare different models while maintaining efficient cost control, governance, and security. A demonstration showcases Lang DB’s functionality, including project creation, model comparison, and cost analysis for various AI models.
02:15 - 03:20

The demo showcases how to compare LLMs efficiently via Lang DB.

Deepseek Natural Language Processing (NLP) Research & Innovations
... 16:21
RAG: The Future of AI Search & Knowledge Retrieval Explained!

The Data Master

1+ months ago 1K views

Retrieval-Augmented Generation (RAG) enhances the capabilities of Large Language Models (LLMs) by addressing their limitations, such as outdated knowledge and inability to access proprietary data. RAG integrates LLMs with external data sources, enabling real-time access to information. The process begins by extracting text from unstructured data, converting it to numerical representations, and storing it in a vector database. When queries are made, embeddings are created and similarities are found in the vector database, augmenting the LLM to produce accurate responses, complete with citations from the data source while allowing for real-time querying and continuous updates.
07:03 - 07:30

Extraction and storage processes for unstructured data are essential for effective RAG implementation.

Natural Language Processing (NLP) Research & Innovations
... 4:46
DeepSeek LLM in Obsidian - AI-Powered Second Brain!

proflead

1+ months ago 5K views

Local LLMs can be set up for free within Obsidian using the Alama tool, enabling users to run large language models on their devices without significant RAM usage. To begin, users should download Alama, install the desired model, and integrate it through Obsidian's Community Plugin feature. The process involves selecting appropriate settings and models for optimal performance. Once set up, these models can assist in various tasks, such as answering questions, summarizing notes, and operating privately without dependence on external data sources.
01:39 - 02:09

Obsidian's Community Plugin allows installation of models like dsck for enhanced AI usage.

Obsidian Natural Language Processing (NLP) Education
... 4:46
DeepSeek LLM in Obsidian - AI-Powered Second Brain!

proflead

1+ months ago 5K views

Local LLMs can be set up for free within Obsidian using the Alama tool, enabling users to run large language models on their devices without significant RAM usage. To begin, users should download Alama, install the desired model, and integrate it through Obsidian's Community Plugin feature. The process involves selecting appropriate settings and models for optimal performance. Once set up, these models can assist in various tasks, such as answering questions, summarizing notes, and operating privately without dependence on external data sources.
01:39 - 02:09

Obsidian's Community Plugin allows installation of models like dsck for enhanced AI usage.

Obsidian Natural Language Processing (NLP) Education