AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Published:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Posts by Tags
agents
ai
Measuring Intelligence
Published:
Survey on How to measure intelligence
State-of-the-art Deep Learning library for Time Series and Sequences.
Published:
Deep learning library for time series and sequences.
N-grams Language Models
Published:
N-grams Language Models
Evaluation of Foundation Models
Published:
What do we need to properly evaluate a foundation model?
Chunking strategies on dataset for pretraining Foundation Models
Published:
Chunking strategies on dataset for pretraining Foundation Models
Foundation Models Infrastructure
Published:
Foundation Models Infrastructure
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Published:
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Published:
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Value-Based Methods in RL
Published:
Value-Based Methods in Reinforcement Learning
Markov Decision Processes
Published:
From Markov Chains to Markov Decision Processes
Interpretable machine learning for science with pysr and symbolicregression
Published:
Interpretable machine learning for science with pysr and symbolicregression
Darts: User-friendly modern machine learning for time series
Published:
Darts: User-friendly modern machine learning for time series
Large Language Models Are Zero-Shot Time Series Forecasters
Published:
Large Language Models Are Zero-Shot Time Series Forecasters
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Published:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Language Modeling is Compression
Published:
Language Modeling is Compression
An Observation on Generalization - Compression for Reasoning in Unsupervised learning
Published:
Compression and Reasoning in Unsupervised learning
A Cookbook of Self-Supervised Learning
Published:
A Cookbook of Self-Supervised Learning
GPT-4 Technical Report
Published:
GPT-4 Technical Report
Foundation Models for Quantitative Finance
Published:
What do we know about the use of Foundation Models in Quantitative Finance?
Language Models are Few-Shot Learners
Published:
Language Models are Few-Shot Learners
Scaling Laws for Neural Language Models
Published:
Scaling Laws for Neural Language Models
Transformers
Published:
Transformers for sequence modeling
app-dev
App development
Published:
Templates for Application Development
board games
Board Games DSL
Published:
We try to design a DSL for board games.
business-intelligence
Open Source productivity tools
Published:
Open Source alternatives to the most popular productivity tools
Business Entity Types
Published:
An overview of different business entity types, their characteristics, and the pros and cons of each.
code-generation
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Published:
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
compilers
Compilers
Published:
Compilers and their role in software development.
compression
Language Modeling is Compression
Published:
Language Modeling is Compression
An Observation on Generalization - Compression for Reasoning in Unsupervised learning
Published:
Compression and Reasoning in Unsupervised learning
contextual-bandits
Contextual Bandits
Published:
Survey on Contextual Bandits algorithms
control theory
Control Theory
Published:
Survey of control theory concepts and applications.
data
Chunking strategies on dataset for pretraining Foundation Models
Published:
Chunking strategies on dataset for pretraining Foundation Models
deep-learning
Deep Learning
Published:
Potential for Deep Learning and its applications.
dsl
Board Games DSL
Published:
We try to design a DSL for board games.
elastic-net
Regularization in Machine Learning
Published:
Discussion about Lasso, Ridge, and Elastic Net regularization techniques in machine learning.
evaluation
Evaluation of Foundation Models
Published:
What do we need to properly evaluate a foundation model?
finance
Interpretable machine learning for science with pysr and symbolicregression
Published:
Interpretable machine learning for science with pysr and symbolicregression
Darts: User-friendly modern machine learning for time series
Published:
Darts: User-friendly modern machine learning for time series
Why do we use log returns in financial models
Published:
Understanding the use of log returns in financial models
Large Language Models Are Zero-Shot Time Series Forecasters
Published:
Large Language Models Are Zero-Shot Time Series Forecasters
Futures Markets
Published:
Futures Markets Summary
RenTech
Published:
Renaissance Technologies
Kelly Criterion
Published:
Understanding the Kelly Criterion
Sharpe Ratio
Published:
Understanding the Sharpe Ratio
Quantitative Trading
Published:
Quantitative Trading Summary
foundation-models
Language Modeling is Compression
Published:
Language Modeling is Compression
An Observation on Generalization - Compression for Reasoning in Unsupervised learning
Published:
Compression and Reasoning in Unsupervised learning
Language Models are Few-Shot Learners
Published:
Language Models are Few-Shot Learners
Scaling Laws for Neural Language Models
Published:
Scaling Laws for Neural Language Models
Transformers
Published:
Transformers for sequence modeling
futures markets
Futures Markets
Published:
Futures Markets Summary
geometry
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Published:
Alpha Geometry: Solving olympiad geometry without human demonstrations.
infra
Foundation Models Infrastructure
Published:
Foundation Models Infrastructure
infrastructure
Quantitative Trading
Published:
Quantitative Trading Summary
jit-compilation
Compilers
Published:
Compilers and their role in software development.
l1-regularization
Regularization in Machine Learning
Published:
Discussion about Lasso, Ridge, and Elastic Net regularization techniques in machine learning.
l2-regularization
Regularization in Machine Learning
Published:
Discussion about Lasso, Ridge, and Elastic Net regularization techniques in machine learning.
limit order book
Limit Order Book Modeling
Published:
Limit Order Book Modeling
llm
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Published:
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Published:
Alpha Geometry: Solving olympiad geometry without human demonstrations.
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Published:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Language Modeling is Compression
Published:
Language Modeling is Compression
An Observation on Generalization - Compression for Reasoning in Unsupervised learning
Published:
Compression and Reasoning in Unsupervised learning
GPT-4 Technical Report
Published:
GPT-4 Technical Report
Language Models are Few-Shot Learners
Published:
Language Models are Few-Shot Learners
Scaling Laws for Neural Language Models
Published:
Scaling Laws for Neural Language Models
Transformers
Published:
Transformers for sequence modeling
llms
N-grams Language Models
Published:
N-grams Language Models
mdp
Markov Decision Processes
Published:
From Markov Chains to Markov Decision Processes
neural-networks
Deep Learning
Published:
Potential for Deep Learning and its applications.
neuro-symbolic-ai
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Published:
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Published:
Alpha Geometry: Solving olympiad geometry without human demonstrations.
ngrams
N-grams Language Models
Published:
N-grams Language Models
olympiad-level-problems
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Published:
Alpha Geometry: Solving olympiad geometry without human demonstrations.
online-learning
Online Learning
Published:
Survey on Online Learning
oss
Open Research
Published:
Open Research
Open Source productivity tools
Published:
Open Source alternatives to the most popular productivity tools
poker
Kelly Criterion
Published:
Understanding the Kelly Criterion
productivity
Open Source productivity tools
Published:
Open Source alternatives to the most popular productivity tools
quantitative finance
Kelly Criterion
Published:
Understanding the Kelly Criterion
Sharpe Ratio
Published:
Understanding the Sharpe Ratio
Quantitative Trading
Published:
Quantitative Trading Summary
quantitative-finance
Rolling returns
Published:
Metrics to calculate rolling returns
Foundation Models for Quantitative Finance
Published:
What do we know about the use of Foundation Models in Quantitative Finance?
regression
Regression Analysis
Published:
Understanding Linear Regression Concepts
regularization
Regularization in Machine Learning
Published:
Discussion about Lasso, Ridge, and Elastic Net regularization techniques in machine learning.
research
Open Research
Published:
Open Research
rl
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Published:
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Published:
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Value-Based Methods in RL
Published:
Value-Based Methods in Reinforcement Learning
Markov Decision Processes
Published:
From Markov Chains to Markov Decision Processes
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Published:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Contextual Bandits
Published:
Survey on Contextual Bandits algorithms
self-supervised
A Cookbook of Self-Supervised Learning
Published:
A Cookbook of Self-Supervised Learning
sequence-modeling
Measuring Intelligence
Published:
Survey on How to measure intelligence
State-of-the-art Deep Learning library for Time Series and Sequences.
Published:
Deep learning library for time series and sequences.
sharpe
Sharpe Ratio
Published:
Understanding the Sharpe Ratio
statistical arbitrage
RenTech
Published:
Renaissance Technologies
statistics
Regression Analysis
Published:
Understanding Linear Regression Concepts
Basic Statistics Course
Published:
Basic Statistics Course
theorem-proving
Alpha Geometry: Solving olympiad geometry without human demonstrations.
Published:
Alpha Geometry: Solving olympiad geometry without human demonstrations.
timeseries
Measuring Intelligence
Published:
Survey on How to measure intelligence
Rolling returns
Published:
Metrics to calculate rolling returns
State-of-the-art Deep Learning library for Time Series and Sequences.
Published:
Deep learning library for time series and sequences.
timeseries forecasting
Interpretable machine learning for science with pysr and symbolicregression
Published:
Interpretable machine learning for science with pysr and symbolicregression
Darts: User-friendly modern machine learning for time series
Published:
Darts: User-friendly modern machine learning for time series
Why do we use log returns in financial models
Published:
Understanding the use of log returns in financial models
Large Language Models Are Zero-Shot Time Series Forecasters
Published:
Large Language Models Are Zero-Shot Time Series Forecasters
value-based
Value-Based Methods in RL
Published:
Value-Based Methods in Reinforcement Learning