Andrew Fairless, Ph.D.
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2024-03-06
What I Read: Deep learning, single-cell sequencing
2024-03-05
What I Read: Salmon, Loop
2024-03-04
What I Read: Self-Attention in GPT
2024-02-28
What I Read: Navigating Data Tensions
2024-02-27
What I Read: Random Forests, Estimation of Information-Theoretic Quantities
2024-02-26
What I Read: Type Checking
2024-02-22
What I Read: Inducing hierarchy for multi-class classification
2024-02-21
What I Read: Research Directions
2024-02-19
What I Read: Instruction Tuning
2024-02-15
What I Read: Will Scaling Solve Robotics?
2024-02-14
What I Read: 3D human pose estimation
2024-02-13
What I Read: Limits of Transformers on Compositionality
2024-02-08
What I Read: survey LLM tooling
2024-02-07
What I Read: Multi-Modal Retrieval-Augmented Generation
2024-02-06
What I Read: Adversarial Attacks on LLMs
2024-02-05
What I Read: Finetuning LLMs Using LoRA
2024-01-31
What I Read: Learning JAX
2024-01-30
What I Read: Nvidia, GPU gold rush
2024-01-29
What I Read: Gaussian Processes Extrapolate
2024-01-25
What I Read: SciPy builds for Python 3.12
2024-01-24
What I Read: Density Kernel Depth for Outlier Detection
2024-01-23
What I Read: Helping AI See
2024-01-18
What I Read: Unify Batch and ML Systems
2024-01-16
What I Read: vectorize wide PyTorch expressions
2024-01-15
What I Read: GPU Computing
2024-01-11
What I Read: Enterprise AI, RAG + Fine Tuning
2024-01-10
What I Read: Compiling NumPy
2024-01-09
What I Read: Neural algorithmic reasoning
2024-01-08
What I Read: SAT Solvers
2024-01-04
What I Read: Multimodality
2024-01-03
What I Read: Finetuning LLMs with LoRA and QLoRA
2023-12-21
What I Read: Understanding Moments
2023-12-20
What I Read: Distributed Training, Finetuning
2023-12-19
What I Read: Artificial General Intelligence
2023-12-14
What I Read: data integration
2023-12-13
What I Read: Retrieval Augmented Generation at scale
2023-12-12
What I Read: AI System Beats Chess Puzzles
2023-12-11
What I Read: Tiny Language Models
2023-12-07
What I Read: LLM Apps, Data Pipelines
2023-12-06
What I Read: Computational Power, AI
2023-12-05
What I Read: evaluating AI systems
2023-12-04
What I Read: Problems of AI Consciousness
2023-11-30
What I Read: Visualizing Matrix Multiplication
2023-11-28
What I Read: Data, The Land DevOps Forgot
2023-11-27
What I Read: Privacy side channels in ML
2023-11-16
What I Read: Estimate Token Importance in LLM Prompts
2023-11-15
What I Read: AI’s $200B Question
2023-11-14
What I Read: Auditing AI, How Much Access
2023-11-09
What I Read: Overton Paradox
2023-11-08
What I Read: How make history with LLMs
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