Picture Wall - 80 pics

The AI Scientist Generates its First Peer-Reviewed Scientific Publication
SOTA on swebench-verified: (re)learning the bitter lesson
Finally, a Replacement for BERT: Introducing ModernBERT
GitHub - franckalain/financial-machine-learning
Uncensor any LLM with abliteration
FX trading signals with regression-based learning | Macrosynergy Research
Ushering in the Thermodynamic Future - Litepaper
A decoder-only foundation model for time-series forecasting – Google Research Blog
GGUF, the long way around | ★❤✰ Vicki Boykis ★❤✰
True Value Investing in Credits through Machine Learning by Patrick Houweling, Philip Messow, Robbert-Jan 't Hoen :: SSRN
Paper page - Mixtures of Experts Unlock Parameter Scaling for Deep RL
The Expected Returns on Machine-Learning Strategies by Vitor Azevedo, Christopher Hoegner, Mihail Velikov :: SSRN
Correlation Matrix Clustering for Statistical Arbitrage Portfolios by Álvaro Cartea, Mihai Cucuringu, Qi Jin :: SSRN
llama : add Mixtral support by slaren · Pull Request #4406 · ggerganov/llama.cpp
facebookresearch/Pearl: A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
We built a 'brain' from tiny silver wires. It learns in real time, more efficiently than computer-based AI
Yes, Transformers are Effective for Time Series Forecasting (+ Autoformer)
Sarah Silverman is suing OpenAI and Meta for copyright infringement - The Verge
How GitHub Copilot is getting better at understanding your code | The GitHub Blog
97% Cheaper, Faster, Better, Correct AI — With Varun Mohan Of Codeium - Foresight News EN
What Building "Copilot for X" Really Takes
Microsoft AI Introduces Orca: A 13-Billion Parameter Model that Learns to Imitate the Reasoning Process of LFMs (Large Foundation Models)
LLMs Outperform Reinforcement Learning- Meet SPRING: An Innovative Prompting Framework for LLMs Designed to Enable in-Context Chain-of-Thought Planning and Reasoning
How does fine tuning really work? - API - OpenAI Developer Forum
Releasing 3B and 7B RedPajama-INCITE family of models including base, instruction-tuned & chat models — TOGETHER
Stanford researchers terminate ChatGPT-like OpenAI two months after launch
Feature Visualization
Statement from the listed authors of Stochastic Parrots on the “AI pause” letter
GPT-4 and professional benchmarks: the wrong answer to the wrong question
openai-cookbook/Question_answering_using_embeddings.ipynb at main · openai/openai-cookbook · GitHub
GitHub - baowenbo/DAIN: Depth-Aware Video Frame Interpolation (CVPR 2019)
OpenAI and Stanford researchers call for urgent action to address harms of large language models like GPT-3 | VentureBeat
Kaggle Publishes 2020 State of Machine Learning and Data Science Report
Automating My Job with GPT-3
AI Weekly: Meet the people trying to replicate and open-source OpenAI's GPT-3 | VentureBeat
GPT2 text generation notepad for windows10. Easy install, for all. : GPT3
dbddv01/GPT2Explorer: GPT2Explorer is bringing GPT2 OpenAI langage models playground to run locally on standard windows computers.
Introduction to Reinforcement Learning with David Silver | DeepMind
Maia Chess
AI Training Method Exceeds GPT-3 Performance with 99.9% Fewer Parameters
Google Research Football with Manchester City F.C. | Kaggle
A state-of-the-art open source chatbot
4 Boosting Algorithms in Machine Learning You Should Know
ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus
Sparse Networks from Scratch: Faster Training without Losing Performance
DeepMind's MEMO AI solves novel reasoning tasks with less compute | VentureBeat
Open-sourcing new AI tools for adaptive experimentation
An AI Pioneer Wants His Algorithms to Understand the 'Why'
Emergent Systematic Generalization in a Situated Agent – arXiv Vanity
Thread by @andrewgwils: Bayesian methods are *especially* compelling for deep neural networks. The key distinguishing property of a Bayesian approach is marginaliza…
Google Brain's AI achieves state-of-the-art text summarization performance | VentureBeat
A Sobering Message About the Future at AI's Biggest Party | WIRED
GitHub - Alro10/deep-learning-time-series: List of papers, code and experiments using deep learning for time series forecasting
Add Lookahead+RAdam optimizer · Issue #416 · kengz/SLM-Lab · GitHub
New Deep Learning Optimizer, Ranger: Synergistic combination of RAdam + LookAhead for the best of both.
Google DeepMind gamifies memory with its latest AI work | ZDNet
Meet Juergen Schmidhuber — The Father Of LSTM, An Outsider In The World Of Deep Learning
GitHub - openai/spinningup: An educational resource to help anyone learn deep reinforcement learning.
15 Examples Of AI In Finance You Should Know | Built In
How I became a machine learning practitioner
Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker
The whisper of schizophrenia: Machine learning finds 'sound' words predict psychosis - Neuroscience News
A Gentle Introduction to Padding and Stride for Convolutional Neural Networks
Opinion | We Built a (Legal) Facial Recognition Machine for $60 - The New York Times
The Case for Learned Index Structures – Google AI
The Black–Litterman Approach and Views from Predictive Regressions: Theory and Implementation | The Journal of Portfolio Management
Building Diversified Portfolios that Outperform Out of Sample | The Journal of Portfolio Management
The 10 Reasons Most Machine Learning Funds Fail | The Journal of Portfolio Management
LCZero blog: A Standard Dataset
5 reasons why jupyter notebooks suck – Towards Data Science
r0f1/datascience: Curated list of Python resources for data science.
Machine Learning and Reinforcement Learning in Finance | Coursera
Machine Learning for Trading | Udacity
automl/RoBO: RoBO: a Robust Bayesian Optimization framework
Automated Machine Learning Hyperparameter Tuning in Python
A Conceptual Explanation of Bayesian Hyperparameter Optimization for Machine Learning
Clustering algorithms for Risk-Adjusted Portfolio Construction - ScienceDirect
Machine Learning Certificate Program | eCornell
Applying Artificial Intelligence and Machine Learning to Finance and Technology
Thinking of Self-Studying Machine Learning? Remind yourself of these 6 things