Unpacking the Differences: Machine Learning in Research versus Production Environments
Author(s): Youssef Hosni Originally published on Towards AI. Machine Learning has become a buzzword in the tech industry and beyond, with its applications ranging from image recognition to natural language processing. However, the way machine learning is implemented varies greatly depending on …
On the Open Letter to Halt New AI Developments: 3 Turing Awardees Present 3 Different Postures
Author(s): LucianoSphere Originally published on Towards AI. Picture created with Dall-E-2 Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, three computer scientists and artificial intelligence (AI) researchers, were jointly awarded the 2018 Turing Prize for their contributions to deep learning, a subfield of …
Meet Dolly: How Databricks Finetuned a Two-Year-Old LLM to Follow Instructions like ChatGPT
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. …
Automating Zero-Shot Classification Generating Model Labels with GPT-3
Author(s): Carlo Borella Originally published on Towards AI. Source: Image generated by the author using MidJourney Zero-shot learning is a machine learning method that allows using a pre-trained model to classify data according to a set of classes or labels that have …
Rustic Learning: Machine Learning in Rust Part 2: Regression and Classification
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Rustic Learning: Machine Learning in Rust β Part 2: Regression and Classification An Introduction to Rustβs Machine Learning crates Photo by Malik Skydsgaard on Unsplash Rustic Learning is a series of articles that …
How Quantum Machine Learning Can Boost Drug Discovery
Author(s): SPX Originally published on Towards AI. Quantum Computing Stock Image Source Drug discovery is a complex and costly process that aims to find new and effective treatments for various diseases. It involves searching for molecules that can interact with biological targets …
NLP with RNNs and Beam Search
Author(s): Akshith Kumar Originally published on Towards AI. All you need to know about beam search and RNNβs. Photo by Bradyn Trollip on Unsplash Recurrent Neural Networks (RNNs) are a type of neural network that is commonly used in Natural Language Processing …
Cosine Similarity for 1 Trillion Pairs of Vectors
Author(s): Rodrigo Agundez Originally published on Towards AI. Introducing ChunkDot Photo by Tamas Pap on Unsplash UPDATEChunkDot now supports sparse embeddings, you can read more about it here. Bulk Similarity Calculations for Sparse Embeddings ChunkDot support for sparse matrices pub.towardsai.net Success! I …
This AI newsletter is all you need #41
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, there was a focus on AI safety, privacy, and regulation. Although the emergence of the next generation of AI models has many …
The Complete Guide to Spiking Neural Networks
Author(s): Ali Moezzi Originally published on Towards AI. Everything you need to know about Spiking Neural Networks from architecture, temporal behavior, and encoding to neuromorphic hardware The world of artificial intelligence is rapidly changing, especially when with it comes to another branch …
Part 3:
Author(s): Rohini Vaidya Originally published on Towards AI. Unraveling the Complexity of Distributions in Statistics U+007C by Rohini Vaidya U+007C Apr 2023 U+007C Towards AI Navigating the Complex World of Distribution: A Complete Guide for the different distributions that you must know …
Part 3:
Author(s): Rohini Vaidya Originally published on Towards AI. Unraveling the Complexity of Distributions in Statistics U+007C by Rohini Vaidya U+007C Apr 2023 U+007C Towards AI Navigating the Complex World of Distribution: A Complete Guide for the different distributions that you must know …
Edge Impulse Launches βBring Your Own Modelβ for ML Engineers
Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. SAN JOSE, CA (April 4, 2023) β Edge Impulse, the leading edge AI platform, today announced Bring Your Own Model (BYOM), allowing AI teams to leverage …
Rustic Learning: Machine Learning in Rust β Part 2: Regression and Classification
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to Rustβs Machine Learning crates Photo by Malik Skydsgaard on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine learning tasks. The …