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Steal the code (ethically) and get better at ML/AI research

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JUNE 13, 2021

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AI News Weekly - Issue #408: Google's Nobel prize winners stir debate over AI research - Oct 10th 2024

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OCTOBER 10, 2024

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Steal the code (ethically) and get better at ML/AI research

AI News Weekly - Issue #408: Google's Nobel prize winners stir debate over AI research - Oct 10th 2024

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NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts

Salesforce AI Research Unveils APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise

Salesforce AI Research Proposes Dataset-Driven Verifier to Improve LLM Reasoning Consistency

Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs

EXAONE 3.0 Released: A 7.8B Open-Sourced State of the Art Language Model from LG AI Research

Open Artificial Knowledge (OAK) Dataset: A Large-Scale Resource for AI Research Derived from Wikipedia’s Main Categories

Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

Scale And Track Your AI/ML Workflows: neptune.ai + Flyte & Union Integration

NVIDIA AI Research Releases HelpSteer: A Multiple Attribute Helpfulness Preference Dataset for STEERLM with 37k Samples

This AI Research Shares a Comprehensive Overview of Large Language Models (LLMs) on Graphs

Google AI Researchers Investigate Temporal Distribution Shifts in Deep Learning Models for CTG Analysis

Google AI Research Introduces a Groundbreaking Quantum Algorithm for Efficiently Simulating Coupled Oscillators

This AI Research Presents Lucene Integration for Powerful Vector Search with OpenAI Embeddings

This AI Research from China Introduces 1-Bit FQT: Enhancing the Capabilities of Fully Quantized Training (FQT) to 1-bit

Allen Institute for AI Researchers Propose SUPER: A Benchmark for Evaluating the Ability of LLMs to Set Up and Execute Research Experiments

This AI Paper Proposes ML-BENCH: A Novel Artificial Intelligence Approach Developed to Assess the Effectiveness of LLMs in Leveraging Existing Functions in Open-Source Libraries

Researchers from Stanford University Propose MLAgentBench: A Suite of Machine Learning Tasks for Benchmarking AI Research Agents

AgentLite by Salesforce AI Research: Transforming LLM Agent Development with an Open-Source, Lightweight, Task-Oriented Library for Enhanced Innovation

Meet ML-SEISMIC: A Physics-Informed Deep Learning Approach for Mapping Australian Tectonic Stresses with Satellite Data

Microsoft AI Researchers Developed a New Improved Framework ResLoRA for Low-Rank Adaptation (LoRA)

Meta AI Researchers Open-Source Pearl: A Production-Ready Reinforcement Learning AI Agent Library

Enhancing Autoregressive Decoding Efficiency: A Machine Learning Approach by Qualcomm AI Research Using Hybrid Large and Small Language Models

This AI Research Introduces GAIA: A Benchmark Defining the Next Milestone in General AI Proficiency

Google AI Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation

Meta AI Research Introduces MobileLLM: Pioneering Machine Learning Innovations for Enhanced On-Device Intelligence

This AI Research from Stanford and UC Berkeley Discusses How ChatGPT’s Behavior is Changing Over Time

Snowflake AI Research Introduces Arctic-SnowCoder-1.3B: A New 1.3B Model that is SOTA Among Small Language Models for Code

This AI Research Introduces SubGDiff: Utilizing Diffusion Model to Improve Molecular Representation Learning

JP Morgan AI Research Introduces FlowMind: A Novel Machine Learning Approach that Leverages the Capabilities of LLMs such as GPT to Create an Automatic Workflow Generation System

This AI Research from the University of Chicago Explores the Financial Analytical Capabilities of Large Langauge Models (LLMs)

This AI Research Presents Neural A*: A Novel Data-Driven Search Method for Path Planning Problems

This AI Research Presents a Physics-Based Deep Learning for Predicting IFP and Liposome Accumulation

This AI Research from Ohio State University and CMU Discusses Implicit Reasoning in Transformers And Achieving Generalization Through Grokking

LG AI Research Proposes QASA: A Novel AI Benchmark Dataset And A Computational Approach

This AI Research from Stanford Discusses Backtracing and Retrieving the Cause of the Query

This AI Research from China Explains How Common 7B Language Models Already Possess Strong Mathematical Capabilities

This AI Research from Tenyx Explore the Reasoning Abilities of Large Language Models (LLMs) Through Their Geometrical Understanding

This AI Research Introduces AstroLLaMA: A 7B Parameter Model Fine-Tuned from LLaMA-2 Using Over 300K Astronomy Abstracts From ArXiv

Navigating the Waters of Artificial Intelligence Safety: Legal and Technical Safeguards for Independent AI Research

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