Sitemap - 2023 - The AiEdge Newsletter
From Machine Learning Engineer to Content Creator
Introduction to Transformers for LLMs Course Now Available!
Introduction to Machine Learning System Design
Beyond LLMs: The Vision Transformer
30 Free Machine Learning E-Books!
How Do We Create Tokens From Words in LLMs
How is AI making Autonomous Driving Possible
Get 30% Off The AiEdge Newsletter for Black Friday!
How To Build a Multimodal RAG Pipeline With LlamaIndex
Revolutionizing Education with AI: Personalized Learning, Model Challenges, and Finance Insights
Understanding The Transformer Architecture
How To Build An AI Sports Commentator With The Latest GPT-4 Vision and OpenAI Text-to-Speech
Introduction to LangChain Course: 50% off!
Introduction to LangChain Course Available for Free!
AiEdge Podcast #4: Exploring Data Science Careers and Potential of Large Language Models
The Attention Mechanism Before Transformers
How to use Reinforcement Learning for Portfolio Optimization
Introduction to LLMs: The RNN Encoder-Decoder Architecture
How To Optimize Your RAG Pipelines
AiEdge Podcast #3: Unlocking AI's Secrets: Career Journeys, Challenges, and the Future
How to Build a Multimodal RAG Pipeline
How To Build Your Own ChatGPT / Llama Model With Hugging Face
Augmenting LLMs with a Graph Database
The Different Ways to Fine-Tune LLMs
AiEdge Podcast #2: Working in AI as a Software Engineer!
How to Automate Writing Software with LangChain
How To Optimize Machine Utilization for Multiple Fine-Tuned LLMs with Hugging Face
Let's Talk about AI with Etienne Bernard, CEO at NuMind
How to Automate Writing Books with LangChain
Are you Interested in Participating to Recorded Mentoring Events?
How to Build a Smart Voice Assistant in 20 mins
Augmenting LLMs: Fine-Tuning or RAG?
What Video Content Would You Like to See?
Introduction to LangChain: Augmenting LLMs with Tools
Formulating and Implementing the t-SNE Algorithm From Scratch
Introduction to LangChain: Retrieval Augmented Generation
How to Build an Image Retrieval System like Google Images
Introduction to LangChain: Vector Database Basics
AutoML Taken to the Next Level!
Introduction to LangChain: Prompt Engineering Fundamentals
TheAiEdge+: When Machine Learning Goes Wrong!
Introduction to LangChain: Loading Data and Summarizing Text Data Strategies
TheAiEdge+: How to Fine-Tune LLMs
Introduction to LangChain: LangChain Basics
The AiEdge+: The Future of Privacy Preserving Machine Learning
Deep Dive: YOLO In-and-Out Part 1 - from V1 to V4!
DragGAN: A fiery new method of image manipulation
Revolutionizing Development and Creativity: The Latest Breakthroughs in Machine Learning
Deep Dive: How I got ChatGPT, LLama2, GPT-4 and (almost) Bard into a Chess Tournament!
The AiEdge+: Let's Make Computer Vision Great Again!
Deep Dive: How to use the OpenAI DALL-E 2 API
The AiEdge+: Model Compression Techniques
Revolutionizing Healthcare and Education: The Impact and Ethical Considerations of AI
Deep Dive: How do Vector Databases Work
Prompt Engineering and LLMOps: Building LLM Applications
Unleashing the Power of AI: From Superintelligence to Mental Health and Molecular Discoveries
The AiEdge+: The Different Maturity Levels in Machine Learning
Unleashing the Power of Generative AI: From Security to Finance, Innovation is at the Forefront
Data Scientists and their Business Stakeholders: How to reduce the risk of conflict
Generative AI: Revolutionizing Industries and Tackling Climate Change
Unlocking the Potential of AI: European Regulations, Surveys, and the Economic Impact
Deep Dive: How I taught ChatGPT to Draw Diagrams with LangChain
Deep Dive: Tracking Machine Learning Experiments and Deploying Models with MLFlow
What are Large Language Models?
Deep Dive: How to Automate Writing Newsletters with LangChain, Stable Diffusion and DiaChat
The Future of AI: From Generative Podcasts to Climate Change Solutions
The AiEdge+: Algorithms for Hyperparameter Optimization
Deep Dive: How to Build a Smart Chatbot in 10 mins with LangChain
The AiEdge+: How Pinterest uses Transformers
Deep Dive: All the Ranking Metrics for Recommender Systems Explained!
The AiEdge+: How to Augment Large Language Models
Introducing The AiEdge Machine Learning Engineering MasterClass
Deep Dive: How to Build the Twitter Feed Ranking Recommender System
TheAiEdge+: How to deal with Imbalanced Datasets
Machine Learning Engineer Masterclass
Deep Dive: 3 Techniques to take your Machine Learning Model Development to the Next Level
The AiEdge+: How to Steal Someone's Motion - Deep Fakes
Deep Dive: How to Build the TikTok Recommender System End-to-End!
The AiEdge+: How to fine-tune Large Language Models with Intermediary models
Deep Dive: Tuning XGBoost Hyperparameters with Bayesian Optimization
How Twitter and TikTok Recommend Content to their Users
The AiEdge+: T-SNE and UMAP - Dimensionality Reduction
Machine Learning Fundamentals: Interview Questions
Deep Dive: How Uber Predicts Arrival Times with Deep Learning
The AiEdge+: How to Manage Machine Learning Projects for Maximum ROI
Deep Dive: How to structure your code for Machine Learning Development
Natural Language Processing: How did we teach Computers to talk like Humans
The AiEdge+: Everything you need to know about the Attention Mechanism!
Deep Dive: Modeling Customers Loan Default with Markov Chains
Deep Dive: How to build the Facebook Ads Ranking System
The AiEdge+: Embeddings, the Superpower of Deep Learning
Social Network Data Visualization
How Generative Adversarial Networks work!
The AiEdge+: Diffusion models - Stable Diffusion vs DALLE-2 vs Imagen
Data Visualization with Seaborn
Data Visualization with Matplotlib
Scrapping the Web for NLP applications
GPT-4: The largest Large Language Model yet!
The AiEdge+: Explainable AI - LIME and SHAP
Advanced Data Manipulation with Pandas
Why XGBoost is better than GBM?
The AiEdge+: All the Transformers Applications
MLOps 101: Feature Stores, Automation, Testing and Monitoring
Exploratory Data Analysis with Pandas
Deep Neural Networks: All the Building Blocks
Why Deployment is the most important part of Machine Learning
Let's speed up our Machine Learning Training!