Building LLMs-Powered Apps with OPL Stack
OPL: OpenAI, Pinecone, and Langchain for knowledge-based AI assistant- 22484Murphy ≡ DeepGuide
AI-Driven Insights: Leveraging LangChain and Pinecone with GPT-4
Empowering Next-Gen Product Managers- 20576Murphy ≡ DeepGuide
All You Need to Know to Build Your First LLM App
A step-by-step tutorial to document loaders, embeddings, vector stores and prompt templates- 22703Murphy ≡ DeepGuide
Code understanding on your own hardware
Setting up an LLM to talk about your code - with LangChain and local hardware- 26641Murphy ≡ DeepGuide
Learning the Ropes for Your Next LangChain Project
Our weekly selection of must-read Editors' Picks and original features- 24983Murphy ≡ DeepGuide
Async calls for Chains with Langchain
How to make Langchain chains work with Async calls to LLMs, speeding up the time it takes to run a sequential long chain.- 20219Murphy ≡ DeepGuide
Running Llama 2 on CPU Inference Locally for Document Q&A
Clearly explained guide for running quantized open-source LLM applications on CPUs using LLama 2, C Transformers, GGML, and LangChain- 25389Murphy ≡ DeepGuide
Enhancing CSV File Query Performance in ChatGPT
with LangChain's Self-Querying based on a customized CSV Loader- 29034Murphy ≡ DeepGuide
How to Chat With Any File from PDFs to Images Using Large Language Models – With Code
Complete guide to building an AI assistant that can answer questions about any file- 23290Murphy ≡ DeepGuide
Developing an Autonomous Dual-Chatbot System for Research Paper Digesting
A project walk-through for the concept, implementation, and demonstration- 28338Murphy ≡ DeepGuide
Researching a Multilingual FEMA Disaster Bot Using LangChain and GPT-4
Some pros and cons of Retrieval-Augmented Generation (RAG) for high-risk chat applications- 23399Murphy ≡ DeepGuide
Prompt Engineering – How to trick AI into solving your problems
7 prompting tricks, Langchain, and Python example code- 20523Murphy ≡ DeepGuide
The Research Agent: Addressing the Challenge of Answering Questions Based on a Large Text Corpus
I made an Autonomous AI Research Agent that can answer difficult questions with deep multi-hop reasoning capabilities- 22262Murphy ≡ DeepGuide
Document Topic Extraction with Large Language Models (LLM) and the Latent Dirichlet Allocation…
A guide on how to efficiently extract topics from large documents using Large Language Models (LLM) and the Latent Dirichlet Allocation...- 25393Murphy ≡ DeepGuide
Conversations as Directed Graphs with LangChain
Building a chatbot designed to understand key information about new prospective customers.- 24669Murphy ≡ DeepGuide
LLM Output Parsing Function Calling vs. LangChain
How to consistently parse outputs from LLMs using Function Calling of Open AI API and LangChain. Methods evaluation with advantages and...- 29005Murphy ≡ DeepGuide
Building a Smart Travel Itinerary Suggester with LangChain, Google Maps API, and Gradio (Part 1)
Learn how to build an application that might inspire your next road trip- 28181Murphy ≡ DeepGuide
‘Talk' to Your SQL Database Using LangChain and Azure OpenAI
Explore the power of natural language processing using LLMs for your database queries- 25999Murphy ≡ DeepGuide
Augmenting LLMs with RAG
An End to End Example Of Seeing How Well An LLM Model Can Answer Amazon SageMaker Related Questions- 27056Murphy ≡ DeepGuide
RAG: How to Talk to Your Data
Comprehensive guide on how to analyse customer feedback using ChatGPT- 24796Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag