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Exploring Contrastive Learning Techniques: CLIP, CLAP, Audio CLIP and InfoNCE
Exploring Contrastive Learning Techniques: CLIP, CLAP, Audio CLIP and InfoNCE
“Are you tired of struggling with traditional machine learning methods? Contrastive learning is the cutting-edge approach that’s…
Jyoti Dabass, Ph.D
Jul 10
Should LLMs have unit tests?
Should LLMs have unit tests?
Spoiler Alert! yes
Dipam Vasani
Jul 10
Optimizing LSTM Autoencoder Latent Dimension using Mutual Information and BO
Introduction:
shashank Jain
Jul 9
Trending
Invoice or Bill Custom Parsing using Instructor (Pydantic Extension), Open AI’s GPT-4o & Prompt…
Invoice or Bill Custom Parsing using Instructor (Pydantic Extension), Open AI’s GPT-4o & Prompt…
Structured Data Extraction for Semi-Structured Image
Kaushik Shakkari
Jun 4
Introducing Shelldon: A New Rust CLI Tool with GPT Features
Introducing Shelldon: A New Rust CLI Tool with GPT Features
I’m a big fan of tools like Warp and Raycast, especially for their AI capabilities. However, I’ve found their free tiers to be somewhat…
Douglas Mendez
Jun 17
Every Enterprise Should Have a Private GPT (LLM)
Every Enterprise Should Have a Private GPT (LLM)
Adopting a private GPT can revolutionize an enterprise’s data management, customer service, innovation, and overall operational efficiency…
Bin Wang
Jun 26
Building a Web Page Summarization App with Next.js, OpenAI, LangChain, and Supabase
Building a Web Page Summarization App with Next.js, OpenAI, LangChain, and Supabase
An app that can understand the context of any web page.
Nasser Maronie
Jun 22
Elevate your Art: Leveraging Claude LLMs for Image Fusion
Elevate your Art: Leveraging Claude LLMs for Image Fusion
In this post, we’re examining a wxPython script that integrates Anthropic’s Claude large language models (LLMs) for image fusion tasks…
alex buzunov
Jun 27
Step-by-Step Guide to Train a Large Language Model (LLM) with code
Step-by-Step Guide to Train a Large Language Model (LLM) with code
How to Train a Large Language Model: Insights from My Journey
Sree Deekshitha Yerra
Jun 13
From Text to Entities: Building a Custom NER System with BERT
From Text to Entities: Building a Custom NER System with BERT
In this article, I would like to demonstrate the fine tuning of an existing model with custom dataset, so as to perform the process of name…
Dhruv Pamneja
Jun 19
Talk First, Think Later: Language as a Communication Tool — Debating the True Function of Human…
Unraveling the Cognitive Debate: Communication vs. Thought in Human Language — Debating the True Function of Human Language
scitechtalk tv
Jun 30
Unlocking the Power of Embeddings: How to Choose the Best Embedding Model for RAG
Unlocking the Power of Embeddings: How to Choose the Best Embedding Model for RAG
A Comprehensive Guide to Choosing the Right Embedding Model for RAG Applications
Nishan Jain
Jun 29
ChatGPT’s IQ is 155. Einstein’s Was 160. Predicting GPT-5
ChatGPT’s IQ is 155. Einstein’s Was 160. Predicting GPT-5
GPT-4 got 10X smarter than 3.5 in just a matter of months and without many changes.
Marko Vidrih
Jan 16
How to Combine RAG, Reinforcement Learning, and Knowledge Graphs for More Robust AI Agents
How to Combine RAG, Reinforcement Learning, and Knowledge Graphs for More Robust AI Agents
Recent mo have seen rapid progress in developing large language models (LLMs) that display impressive capabilities in language generation…
Anthony Alcaraz
Feb 6
Building an Event-Planner Agent using Tavily, Lang-graph, and OpenAI
Building an Event-Planner Agent using Tavily, Lang-graph, and OpenAI
A Comprehensive Guide
Priyanthan Govindaraj
Jun 9
Open-Source LLM Document Extraction Using Mistral 7B
Open-Source LLM Document Extraction Using Mistral 7B
Introduction
Júlio Almeida
Feb 2
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