Exploring Julia Programming Language: Application Programming Interface (API)—Part 1
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Creating RESTful APIs and services with JuliaImage Generated by AI on Gencraft U+1F44B Hello and welcome back to our series to explore the Julia programming language to develop end-to-end machine learning (ML) projects. …
What is CRISP ML(Q) in Machine Learning
Author(s): Amit Chauhan Originally published on Towards AI. Project management methodologyPhoto by Kaleidico on Unsplash CRISP ML(Q) — CRoss Industry Standard Process for Machine learning with Quality Assurance, It comprises of 6 phases: Data and Business understandingData preparationModel building and TuningEvaluationModel DeploymentMonitoring …
OpenAI Assistant vs RAG Part 1: Significant Limitations and Possibilities
Author(s): Ryan Nguyen Originally published on Towards AI. Too soon to say Open AI kills the entire RAG and API-oriented app. Given a few iterations, they may get there. Eventually? Or will they?By Author “Bigger, smarter, faster, cheaper, easier.” Isn’t that what …
FastAPI Template for LLM SaaS Part 1 — Auth and File Upload
Author(s): Euclidean AI Originally published on Towards AI. FastAPI has been getting a lot of traction in the Python backend developer community lately, thanks to its simplicity, asynchronous nature, and native Swagger UI. Among those popular LLM open-source projects on GitHub, Quivr …
Unboxing Weights, Biases, Loss: Hone in on Deep Learning
Author(s): Mainak Mitra Originally published on Towards AI. Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like …
What is Transfer Learning in Deep Learning?
Author(s): Amit Chauhan Originally published on Towards AI. Pre-trained models in machine and deep learningPhoto by Arnold Francisca on Unsplash In simple terms, it is a technique to use a trained model on the dataset that is run on a new, different …
Prompting GPT-4 for On-The-Fly Multi-Visualization Dashboards
Author(s): John Loewen, PhD Originally published on Towards AI. A zero-code map-and-charts dashboard for global literacy dataDall-E 2 generated choropleth map image Recently, GPT-4 has gone through a positive overhaul of its data visualization capabilities. The new power of this update is …
This Simple Resume Got Me a Google DeepMind Interview
Author(s): Boris Meinardus Originally published on Towards AI. Hey! Ever wondered what it takes to land machine-learning interviews at dream companies like Google DeepMind, Amazon, and Nuro?Well, today, we’re gonna talk about the resume that got me internship interviews with these FAANG …
2023 Ultimate Guide to LLMOps: Free Training from Beginner to Expert
Author(s): Louis Bouchard Originally published on Towards AI. Master LLMOps now. A complete guide. Follow my newsletter to get weekly updates on my projects! Welcome back to my channel, today, I want to reiterate something I did a few years ago. In …
Developing Your First Neural Network in PyTorch
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. A Complete Step-by-Step Process for BeginnersPhoto by M.T ElGassier on Unsplash I have been working and writing tutorials on deep learning space for a while now, and I focused mostly on TensorFlow. But …
Why are AI Products Doomed to Fail?
Author(s): Jeremy Arancio Originally published on Towards AI. After one year of implementing AI features for various businesses, I share my perspective on the mistakes I see companies making with LLMs, but also which strategy to adopt. 2023 has been the year …
Serving a PyTorch Model with FastAPI and Docker
Author(s): Marcello Politi Originally published on Towards AI. Learn how to develop a complete Machine Learning ServicePhoto by SpaceX on Unsplash Working on personal Machine/Deep Learning projects is very enjoyable. In the evenings, in front of the laptop, you code things you …
Start using Liquid Clustering instead of Partitioning for Delta tables in Databricks
Author(s): Muttineni Sai Rohith Originally published on Towards AI. Revolutionizing the way we organize the data, Databricks introduced a game-changer called Liquid Clustering in this year’s Data + AI Summit. An innovative feature that redefines the boundaries of partitioning and clustering for …
Beyond the Checkered Flag: F1 Statistics Explored
Author(s): Vishnu Regimon Nair Originally published on Towards AI. Photo by Cr-AI-tive on Pixabay In an extremely competitive sport like F1, even the tiniest performance gains can lead to victory. Analyzing F1 from a fan and data science perspective could help gain …
Multi-Query Attention Explained
Author(s): florian Originally published on Towards AI. Multi-Query Attention (MQA) is a type of attention mechanism that can accelerate the speed of generating tokens in the decoder while ensuring model performance. It is widely used in the era of large language models, …
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