- Published on
All Posts
All Posts
- llms (7)
- ai-engineering (5)
- deep-dive (3)
- rag (2)
- function-calling (2)
- agents (2)
- ai-safety (2)
- nlp (2)
- embeddings (2)
- agentic-ai (1)
- design-patterns (1)
- agents-orchestration (1)
- in-context-learning (1)
- openai (1)
- autogen (1)
- rdi-berkeley (1)
- model-context-protocol (1)
- deep-learning (1)
- multilayer-perceptron (1)
- backpropagation (1)
- gradient-descent (1)
- fine-tuning (1)
- modern-bert (1)
- hugging-face-transformers (1)
- knowledge-graphs (1)
- langchain (1)
- neo4j (1)
- quantization (1)
- clustering (1)
- topic-modeling (1)
- tedai (1)
- innovation (1)
- research (1)
- ai-ethics (1)
- hackathon (1)
- conference (1)
- Published on
The ever-growing volume of research publications necessitates efficient methods for structuring such knowledge. This automated solution uses Machine Learning (UMAP, HDBSCAN), Embedding Quantization, and an LLM pipeline to classify 25,000 arXiv publications under a novel taxonomy.- Published on
Python from-scratch implementation of the modules required to build and train a Neural Network that classifies garment images, incl. Linear and Flatten Transformations, Non-Linearity, Regularization, Gradient-Descent-Optimizer, Backpropagation, Mini-Batch Training, and Evaluation.- Published on