Large Language Models Course: Learn by Doing LLM Projects

🖥 Github: https://github.com/peremartra/Large-Language-Model-Notebooks-Course

📕 Paper: https://doi.org/10.31219/osf.io/qgxea

https://news.1rj.ru/str/DataScienceT ✅

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation

Paper: https://arxiv.org/pdf/2409.13731v3.pdf

Code: https://github.com/openspg/kag

Dataset: 2WikiMultiHopQA

https://news.1rj.ru/str/DataScienceT 💙

CogAgent: A Visual Language Model for GUI Agents

Paper: https://arxiv.org/pdf/2312.08914v3.pdf

CVPR 2024: http://openaccess.thecvf.com//content/CVPR2024/papers/Hong_CogAgent_A_Visual_Language_Model_for_GUI_Agents_CVPR_2024_paper.pdf

Code1: https://github.com/thudm/cogvlm
Code2: https://github.com/digirl-agent/digirl
Code3: https://github.com/THUDM/CogAgent

Dataset: TextVQA

https://news.1rj.ru/str/DataScienceT 🩵

Automating the Search for Artificial Life with Foundation Models

paper: https://arxiv.org/pdf/2412.17799v1.pdf

Code: https://github.com/sakanaai/asal

https://news.1rj.ru/str/DataScienceT 💙

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0

✅ https://news.1rj.ru/str/Python53

Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

🖥 Github: https://github.com/zhouyiks/CoLVA/tree/main

📕 Paper: https://arxiv.org/pdf/2501.04670v1.pdf

⭐️ Dataset: https://paperswithcode.com/dataset/bdd100k

https://news.1rj.ru/str/DataScienceT ✉️

💻 ACU - Awesome Agents for Computer Use

A project that contains a carefully selected list of resources about AI agents designed to run autonomously on your computers.

It includes research studies, projects, frameworks, guides and various tools.

Agents support task analysis and decision making functions for interacting with any interface.

▪️ Github

#aiagents #awesome #agents

https://news.1rj.ru/str/DataScienceT ✅

LatentSync: Audio Conditioned Latent Diffusion Models for Lip Sync

Paper: https://arxiv.org/pdf/2412.09262v1.pdf

Code: https://github.com/bytedance/LatentSync

https://news.1rj.ru/str/DataScienceT 💎

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation

Paper: https://arxiv.org/pdf/2409.13731v3.pdf

Code: https://github.com/openspg/kag

Datasets: 2WikiMultiHopQA

https://news.1rj.ru/str/DataScienceT 🎁

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

paper: https://arxiv.org/pdf/2407.16741v2.pdf

Code:
https://github.com/opendevin/opendevin
https://github.com/all-hands-ai/openhands

https://news.1rj.ru/str/DataScienceT ❤️

Story-Adapter: A Training-free Iterative Framework for Long Story Visualization

Paper: https://arxiv.org/pdf/2410.06244v1.pdf

Code: https://github.com/jwmao1/story-adapter

https://news.1rj.ru/str/DataScienceT 📊

Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations

Paper: https://arxiv.org/pdf/2408.15232v2.pdf

Code: https://github.com/stanford-oval/storm

https://news.1rj.ru/str/DataScienceT ⚠️

Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction

Paper: https://arxiv.org/pdf/2501.03218v1.pdf

Code: https://github.com/mark12ding/dispider

Dataset: Video-MME

https://news.1rj.ru/str/DataScienceT 🎙

SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models

Paper: https://arxiv.org/pdf/2412.11058v1.pdf

Code:
https://github.com/snowfallingplum/shmt
https://github.com/snowfallingplum/csd-mt

https://news.1rj.ru/str/DataScienceT 🐍#️⃣

AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans

Paper: https://arxiv.org/pdf/2407.02418v2.pdf

Code: https://github.com/GabrieleLozupone/AXIAL

Dataset: ADNI

https://news.1rj.ru/str/DataScienceT 🧠