Tag: tutorial

• Increasing Fine-tuning Efficiency (01 Oct 2023)
  
• Fine-tuning BERT with LORA and WandB (24 Sep 2023)
  
• Improving Retrieval w Finetuned Embeddings (Manually!) (17 Sep 2023)
  
• Improving Retrieval w Finetuned Embeddings (10 Sep 2023)
  
• Multi-Head Attention (09 Sep 2023)
  
• RAG on 10K: Part 2 (07 Sep 2023)
  
• RAG on 10K: Part 1 (05 Sep 2023)
  
• Quantization (01 Sep 2023)
  
• Single-Label Entropy Loss in Torch (05 Aug 2023)
  
• Logits and Sigmoid (04 Aug 2023)
  
• LLM Use Case: Mining 10Ks (09 Jul 2023)
  
• LLMs Part 3: Other Considerations for Practical Usage (26 May 2023)
  
• LLMs Part 2: Financial Markets Use Cases (26 May 2023)
  
• LLMs Part 1: The Context for Recent AI Developments (26 May 2023)
  
• My Jekyll Cheatsheet (22 Jan 2023)
  
• Simple Steps to Create a Website on the Cheap (06 Jan 2023)
  
• Entity Resolution (13 Jan 2022)
  
• Pun Generator (04 Jan 2022)
  
• Serverless Experiments (03 Jan 2022)
  
• Variance Reduction in A/B Testing (02 Jan 2022)
  
• My NYU Course Materials (15 Dec 2021)
  
• Data Science Books and Courses (15 Dec 2021)
  
• AI Product Adoption and MLOps (15 Sep 2021)
  
• Entity Resolution Primer (12 Sep 2021)
  
• FinTech Primer (09 Sep 2021)
  
• Deploying An ML Model on GCP (30 Aug 2021)
  
• Deploying An ML Model on GCP: Part 3 (30 Aug 2021)
  
• Deploying An ML Model on GCP: Part 2 (30 Aug 2021)
  
• Deploying An ML Model on GCP: Part 1 (30 Aug 2021)
  
• Downsampling: A Deeper Dive (13 Aug 2021)
  
• US Maps in Python (29 Jun 2021)
  
• Downsampling (10 Jun 2021)
  
• Geothmetic Median (21 Mar 2021)
  
• Knowledge and XKCD in Jupyter (26 Jan 2021)
  
• Linear Regression of Clusters (10 Apr 2020)
  
• Effects of Sampling (20 Jan 2020)
  
• Hierarchical Job Clusters (01 May 2018)