LLMs
[Hands-on] Building a Llama-OCR app
...using Llama-3.2-vision model and Streamlit.
Avi Chawla
410 posts published
![[Hands-on] Building a Llama-OCR app](https://storage.ghost.io/c/3f/df/3fdf6ed2-17ac-4b12-a693-8078bd13e748/content/images/size/w400/2024/12/Screenshot-2024-12-13-at-2.03.11-AM.png)
AI applications
[Hands-on] Building a Real-Time AI Voice Bot
...AssemblyAI + OpenAI + ElevenLabs.
![[Hands-on] Building a Real-Time AI Voice Bot](https://storage.ghost.io/c/3f/df/3fdf6ed2-17ac-4b12-a693-8078bd13e748/content/images/size/w400/2024/12/772e651f-02b6-44f9-a1ac-0d8692a3477d_2054x860.gif)
RAG Systems Course
A Crash Course on Building RAG Systems – Part 5 (With Implementation)
A deep dive into key components of multimodal systems—CLIP embeddings, multimodal prompting, and tool calling.
Agents
Building a Multi-agent Financial Analyst
...using Microsoft's Autogen and Llama3-70B.
Pandas
Pandas vs. FireDucks Performance Comparison
20x faster Pandas by changing one line of code.
RAG Systems Course
A Crash Course on Building RAG Systems – Part 4 (With Implementation)
A deep dive into handling multiple data types in RAG systems (with implementations).
LLMs
Traditional RAG vs. HyDE
...explained visually.
Drift
Identify Drift Using Proxy-labeling
An intuitive way to detect drift.
Machine Learning
A Hands-on Demo on Autoencoders
...along with applications.
RAG Systems Course
A Crash Course on Building RAG Systems – Part 3 (With Implementation)
A deep dive into making RAG systems faster (with implementations).
Data Analysis
Use Box Plots with Caution!
They Can Be Misleading.
Correlation Analysis
How to Assess Correlation on Ordinal Data?
The limitations of Pearson correlation.
Clustering
Categorization of Clustering Algorithms
...explained in a single frame.
Machine Learning
Accuracy Can Be Deceptive
... and how to catch it.
LLMs
Build a Multi-agent Research Assistant With SwarmZero
Your own PerplexityAI (100% local).
Causal inference
Causality (Part 2)
A guide to building robust decision-making systems in businesses with causal inference.
LLMs
Run LLMs Locally with Ollama
A step-by-step hands-on guide.
RAG Systems Course
A Crash Course on Building RAG Systems – Part 2 (With Implementation)
A deep dive into evaluating RAG systems (with implementations).
RAG
A crash course on RAG systems - Part 2
Beginner-friendly and with implementation.
LLMs
Prompting vs. RAG vs. Fine-tuning
Which one is best for you?
Dimensionality Reduction
Avoid Using PCA for Visualization Unless...
...this plot says so.
LLMs
From PyTorch to Lightning Fabric
Scale model training with 4 small changes.
LLMs
Techniques to Extend Context Length of LLMs
Key techniques, explained in simple terms.
Machine Learning
KernelPCA vs. PCA
...and when to not use KernelPCA
Classical ML and Deep Learning
Causality (Part 1)
A guide to building robust decision-making systems in businesses with causal inference.
LLM and Fine-tuning
AugSBERT: Bi-encoders + Cross-encoders for Sentence Pair Similarity Scoring – Part 2
A deep dive into extensions of cross-encoders and bi-encoders for sentence pair similarity.
LLMs
5 Chunking Strategies For RAG
...explained in a single frame.
LLM and Fine-tuning
Bi-encoders and Cross-encoders for Sentence Pair Similarity Scoring (Part 1)
A deep dive into why BERT isn't effective for sentence similarity and advancements that shaped this task forever.
Classical ML and Deep Learning
Model Interpretability (Part 3)
A deep dive into interpretability methods, why they matter, along with their intuition, considerations, how to avoid being misled, and code.
PCA
Sparse Random Projections
An alternative to PCA for highly dimensional datasets.
