A Practical Guide to Enabling AI Agent Browser Control using Browser-use
Browser-Use is an open-source Python library that lets LLM-powered agents interact with websites via natural
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Deep Dive into the First Scalable Native 1-Bit LLM BitNet b1.58 2B4T
BitNet b1.58 2B4T is the first native 1-bit, 2B parameter LLM trained on 4T tokens,
Hands-On Guide to Implementing Multi-Agent Workflows Using LlamaIndex
In this hands-on guide, explore how to build a modular, intelligent multi-agent workflow using LlamaIndex.
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
Graph-based Embeddings to Optimize Website Segmentation for Digital Ad Campaigns
Author(s): Vyom Pankajkumar Bhat, Dushyant Rai Tara
Stock Price Prediction Using Deep Learning Models
Author(s): Jaydip Sen, Sidra Mehtab, Gaurab Nath
S&P 500 Stocks Movement Prediction using Deep Learning
Author(s): Rahul Gupta
InnovFaceNet: Deep Face Recognition for Industrial Environments
Author(s):Nagarjun Gururaj,Kanika Batra
Live Exercise Repetition Counter
Author(s): Abishek V Ashok
Smart Irrigation System Using NodeMCU-12E
Author(s): Abhishek Kumar, Dr.Pradyut Sarkar
Malware Detection using Convolutional Neural Network
Author(s): Harmeet Thukran, Neeti Kashyap
Study and Analysis of DeepFashion2 Dataset for the E-commerce industry
Author(s): Vedansh Surjan, Prateek Khandelwal
Certified Generative AI Engineer
ADaSci’s Certified Generative AI Engineer program is an upskilling-linked certification initiative designed to recognize talent in generative AI and large language models.
