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TheAILearner
India
เข้าร่วมเมื่อ 18 เม.ย. 2018
How-to: Return structured output from LLMs | Langchain | Strategies & Code Implementation
In this video, I walk you through four powerful strategies to return structured output from large language models (LLMs) using OpenAI. Whether you're building a chatbot, a data extraction tool, or any other application requiring structured responses, these methods will help you achieve consistent and reliable results.
Notebook : github.com/TheAILearner/Langchain-How-to-Guides/blob/main/How%20to%20return%20structured%20data%20from%20LLMs.ipynb
#langchain #openai #structuredoutput #llm #ai #promptengineering #functioncalling #jsonmode #toolintegration #artificialintelligence #python #coding
Notebook : github.com/TheAILearner/Langchain-How-to-Guides/blob/main/How%20to%20return%20structured%20data%20from%20LLMs.ipynb
#langchain #openai #structuredoutput #llm #ai #promptengineering #functioncalling #jsonmode #toolintegration #artificialintelligence #python #coding
มุมมอง: 347
วีดีโอ
Signature Matching with Multimodal LLM | MiniCPM-V 2.6
มุมมอง 24421 วันที่ผ่านมา
Welcome to this tutorial where we explore the power of MiniCPM-V 2.6, a cutting-edge open-source multimodal LLM, for signature matching. In this video, you'll learn how to harness the capabilities of this model, which is built on SigLip-400M and Qwen2-7B, with a combined total of 8 billion parameters. MiniCPM-V 2.6 is a versatile model designed for tasks such as image and video understanding, i...
Improving OCR on Low-Quality Documents with AuraSR-v2 and MiniCPM-V 2.6
มุมมอง 41021 วันที่ผ่านมา
Welcome, fellow learners! In this video, we'll explore how to combine two newly released open-source models to achieve better OCR results on low-quality scanned documents. The first model, AuraSR, is a GAN-based super-resolution model that enhances the quality of scanned document images. The second model is MiniCPM-V 2.6, a recently released multimodal LLM, which we'll use to extract text from ...
LLM Quantization with llama.cpp on Free Google Colab | Llama 3.1 | GGUF
มุมมอง 38828 วันที่ผ่านมา
In this video, I walk you through the process of quantizing a open source LLM (Llama 3.1) using the powerful llama.cpp library, all on a free Google Colab environment. The purpose of this type of quantization is to be able to run the quantized model on both CPU and GPU. Notebook : colab.research.google.com/drive/1GmXoZ997XHsd1WTYcB_pPiOvYsfY8nl0?usp=sharing #llama3.1 #llama3 #llamacpp #gguf #Hu...
Fully Local Custom SQL Agent with Llama 3.1 | Langchain | Ollama
มุมมอง 2.5Kหลายเดือนก่อน
This video teaches you how to implement an end-to-end custom SQL agent which consist of dynamic few shot prompting with the recently released open-source LLM, Llama 3.1 on a local system. Additionally, we will learn how to incorporate persistent memory management through multiple session chat histories by utilizing a local SQL database. Code - github.com/TheAILearner/Langchain-Agents/blob/main/...
Function Calling with Llama 3.1 and Ollama | Langchain
มุมมอง 2Kหลายเดือนก่อน
In this video, we will explore how to implement function (or tool) calling with LLama 3.1 and Ollama locally. Code : github.com/TheAILearner/GenAI-with-Open-Source-LLMs/blob/main/Function Calling with Llama 3.1 and Ollama.ipynb Setting up Ollama : th-cam.com/video/GlyvykfIPJI/w-d-xo.html #llama3.1 #functioncalling #ollama #llama3 #llm #langchain #opensource #nlp #machinlearning #coding #python ...
Implementing Codestral Mamba on Free Google Colab
มุมมอง 140หลายเดือนก่อน
In this video, we'll be setting up and running Codestral Mamba, an open code model based on the Mamba2 architecture in Google Colab free tier. You'll learn: 1. An introduction to the Codestral Mamba model. 2. Loading and configuring the Codestral Mamba. 3. Evaluating the performance and results of Codestral Mamba model. Code Link - colab.research.google.com/drive/1oYOJ3CI9nXBc1xp9Yka91qh3oe3Tob...
Getting Started with LangSmith | LangChain | OpenAI | Ollama
มุมมอง 226หลายเดือนก่อน
This video is your one-stop guide to getting started with LangSmith! We'll walk you through the entire process, from installation and local setup to building a SQL agent using LangChain. Finally, we'll dive into LangSmith to analyze the agent's output and gain valuable insights. LangSmith - www.langchain.com/langsmith Ollama Github - github.com/ollama/ollama SQL Agent with Llama 3(With Ollama I...
Memory Management for Chatbots using Langchain | OpenAI | Gradio
มุมมอง 506หลายเดือนก่อน
In this video tutorial, I will guide you through the process of efficiently managing memory for chatbots using Langchain in Python. We will implement it for custom agent. We'll cover each step in detail, from importing the OpenAI LLM to showcasing the final product in a Gradio UI. By the end of this tutorial, you'll have a solid understanding of how to manage chatbot memory effectively, ensurin...
Dynamic Few-shot Prompting with Llama 3 on local Environment | Ollama | Langchain | SQL Agent
มุมมอง 1.5K2 หลายเดือนก่อน
This video teaches you how to implement dynamic few-shot prompting with open-source LLMs like Llama 3 using Langchain on local environment. In this tutorial, we will follow these steps: 1. Import Llama3 : Begin by importing the necessary Llama3 library using Ollama. 2. Fetch SQL Data : Connect to your SQL database and fetch the data you need. This involves establishing a connection to sqlite da...
Implementing DeepSeek-Coder-V2 on Free Google Colab using Ollama
มุมมอง 6752 หลายเดือนก่อน
In this video, we'll be setting up and running DeepSeek-Coder-V2, a code language model in Google Colab using Ollama. We will first set up Ollama in Google Colab and then import DeepSeek-Coder-V2 model from Ollama and test it out. #deepseekcoderv2 #googlecolab #deepseek #Ollama #llm #ai #machinlearning #python #tutorial #deeplearning #nlp
OCR Using Microsoft's Florence-2 Vision Model on Free Google Colab
มุมมอง 4.2K2 หลายเดือนก่อน
In this video, I demonstrate how to implement Microsoft's recently released Florence-2 novel Foundational Vision Model on a free Google Colab workspace using a T4 GPU. I use Optical Character Recognition (OCR) as the primary use case to showcase the model's capabilities. You'll learn: 1. An introduction to the Florence-2 Vision Model 2. Loading and configuring the Florence-2 3. Implementing OCR...
Function Calling With Llama 3 | Ollama | Langchain
มุมมอง 1.3K2 หลายเดือนก่อน
Function Calling With Llama 3 | Ollama | Langchain
Making Llama 3 Up-to-date on Your Local Computer | LangGraph | Ollama | Langchain
มุมมอง 6362 หลายเดือนก่อน
Making Llama 3 Up-to-date on Your Local Computer | LangGraph | Ollama | Langchain
Build an SQL Agent with Llama 3 | Langchain | Ollama
มุมมอง 8K2 หลายเดือนก่อน
Build an SQL Agent with Llama 3 | Langchain | Ollama
Summarize YouTube Videos for Free Using Google's Gemini API
มุมมอง 6142 หลายเดือนก่อน
Summarize TH-cam Videos for Free Using Google's Gemini API
Automate filling of Job Applications | LaVague Web Agent & Microsoft Phi-3 Vision | Free Gemini API
มุมมอง 7702 หลายเดือนก่อน
Automate filling of Job Applications | LaVague Web Agent & Microsoft Phi-3 Vision | Free Gemini API
Deep Dive into Text Splitters in Langchain: Character vs Recursive Character Text Splitter
มุมมอง 2623 หลายเดือนก่อน
Deep Dive into Text Splitters in Langchain: Character vs Recursive Character Text Splitter
OCR Using Microsoft's Phi-3 Vision Model on Free Google Colab
มุมมอง 4.7K3 หลายเดือนก่อน
OCR Using Microsoft's Phi-3 Vision Model on Free Google Colab
Langchain Agents | EP04 | Custom Agent with Memory | Langchain | LLM
มุมมอง 1.2K3 หลายเดือนก่อน
Langchain Agents | EP04 | Custom Agent with Memory | Langchain | LLM
Langchain Agents | EP03 | Custom Agent | Langchain | LLM
มุมมอง 4973 หลายเดือนก่อน
Langchain Agents | EP03 | Custom Agent | Langchain | LLM
Langchain Agents | EP02 | Dynamic Few-Shot prompting | Langchain | LLM
มุมมอง 6853 หลายเดือนก่อน
Langchain Agents | EP02 | Dynamic Few-Shot prompting | Langchain | LLM
Langchain Agents | EP01 | SQL Chain vs Agent | Langchain | LLM
มุมมอง 2.1K3 หลายเดือนก่อน
Langchain Agents | EP01 | SQL Chain vs Agent | Langchain | LLM
AI Super Agent | EP02 | Implementation | Octopus v2 | Nexa AI
มุมมอง 2254 หลายเดือนก่อน
AI Super Agent | EP02 | Implementation | Octopus v2 | Nexa AI
AI Super Agent | EP01 | Introduction | Octopus v2 | Nexa AI
มุมมอง 3684 หลายเดือนก่อน
AI Super Agent | EP01 | Introduction | Octopus v2 | Nexa AI
Chat with Data | EP06 | Speech Inclusion in SQL Database Chain | Langchain | LLM
มุมมอง 1194 หลายเดือนก่อน
Chat with Data | EP06 | Speech Inclusion in SQL Database Chain | Langchain | LLM
Chat with Data | EP05 | SQL Database Chain with Gradio UI | Langchain | LLM
มุมมอง 2004 หลายเดือนก่อน
Chat with Data | EP05 | SQL Database Chain with Gradio UI | Langchain | LLM
Chat with Data | EP04 | Demystifying individual components of SQL Database Chain | Langchain | LLM
มุมมอง 1424 หลายเดือนก่อน
Chat with Data | EP04 | Demystifying individual components of SQL Database Chain | Langchain | LLM
Chat with Data | EP03 | Custom Prompting in SQL Database Chain | Langchain | LLM
มุมมอง 2424 หลายเดือนก่อน
Chat with Data | EP03 | Custom Prompting in SQL Database Chain | Langchain | LLM
Chat with Data | EP02 | SQL Database Chain | Langchain | LLM
มุมมอง 5134 หลายเดือนก่อน
Chat with Data | EP02 | SQL Database Chain | Langchain | LLM