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Learn Prompting 101: Prompt Engineering Course & Challenges
Learn Prompting 101: Prompt Engineering Course & Challenges
Introduction
Towards AI Editorial Team
Feb 7, 2023
This AI newsletter is all you need #35
This AI newsletter is all you need #35
What happened this week in AI by Louis
Towards AI Editorial Team
Feb 21, 2023
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Latest articles
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
How SOFTS, a new MLP-based model with the innovative STar Aggregate-Dispatch (STAD) module, achieves state-of-the-art performance in…
Reza Yazdanfar
May 19
Transposed Weight Matrices in TensorFlow
Transposed Weight Matrices in TensorFlow
TensorFlow stores its weights in a counter-intuitive way, and there’s a very good reason for it.
Malcolm Lett
May 18
Exciting New Methods for Efficient Fine-Tuning of LLMs using PEFT (BOFT, VeRA, and PiSSA)
Exciting New Methods for Efficient Fine-Tuning of LLMs using PEFT (BOFT, VeRA, and PiSSA)
The latest update to Huggingface’s PEFT v0.11.0 introduces several new Parameter-Efficient Fine-Tuning (PEFT) techniques (BOFT, VeRA, and…
Mandar Karhade, MD. PhD.
May 17
Learn AI Together — Towards AI Community Newsletter #24
Learn AI Together — Towards AI Community Newsletter #24
Good morning, AI enthusiasts!
Towards AI Editorial Team
May 16
Intro to DSPy: Simple Ideas To Improve Your RAG
Intro to DSPy: Simple Ideas To Improve Your RAG
Language models (LMs) like GPT-4 have transformed how we interact with machine learning systems, tackling tasks from code generation to…
Gao Dalie (高達烈)
May 16
AI-Generated Animations Are Here (Almost…)
AI-Generated Animations Are Here (Almost…)
Lessons learned from using AI for Manim-based Animations
Shahzeb Naveed
May 15
Top Important LLM Papers for the Week from 06/05 to 12/05
Top Important LLM Papers for the Week from 06/05 to 12/05
Stay Updated with Recent Large Language Models Research
Youssef Hosni
May 15
Crafting QA Tool with Reading Abilities Using RAG and Text-to-Speech
Crafting QA Tool with Reading Abilities Using RAG and Text-to-Speech
Develop your QA Chat Tool with the latest advancements in AI research.
Cornellius Yudha Wijaya
May 14
This AI newsletter is all you need #99
This AI newsletter is all you need #99
What happened this week in AI by Louie
Towards AI Editorial Team
May 14
Exploring Linear Regression for Spatial Analysis.
Exploring Linear Regression for Spatial Analysis.
Machine learning has become very popular in the world of technology, this is evidenced as witnessed in social media with topics like deep…
Stephen Chege-Tierra Insights
May 14
Few Shot NLP Intent Classification
Few Shot NLP Intent Classification
Comparing SetFit, FastFit, and Semantic Router to find the best NLP chatbot intent detection algorithm
Marie Stephen Leo
May 13
How do AI supercomputers train large Gen AI models? Simply Explained
How do AI supercomputers train large Gen AI models? Simply Explained
Since the emergence of ChatGPT in 2022, AI has dominated discussions. However, behind the scenes, it’s the AI infrastructure that serves as…
Mélony Qin (aka cloudmelon)
May 13
Inside AlphaFold 3: A Technical View Into the New Version of Google DeepMind’s BioScience Model
Inside AlphaFold 3: A Technical View Into the New Version of Google DeepMind’s BioScience Model
A highly improved architecture drastically expands the capabilities of AlphaFold.
Jesus Rodriguez
May 13
Kubernetes 101: Grasping the Fundamentals ☸️
Kubernetes 101: Grasping the Fundamentals ☸️
Demystifying the nuts and bolts of its architecture and components
Afaque Umer
May 13
Llama 3 + Llama.cpp is the local AI Heaven
Llama 3 + Llama.cpp is the local AI Heaven
Build a fully local (nano) DiagramGPT using Llama 3 8B and learn about inline function calling.
Vatsal Saglani
May 12
How to Optimize Chunk Sizes for RAG in Production?
How to Optimize Chunk Sizes for RAG in Production?
The chunk size can make or break the retrieval. Here is how to determine the best chunk size for your use case.
Mandar Karhade, MD. PhD.
May 12
Building LLM Agents Using LangChain & OpenAI API
Building LLM Agents Using LangChain & OpenAI API
When we think about large language models (LLM), we often imagine them as super-smart databases filled with internet knowledge, ready to…
Youssef Hosni
May 12
Revolutionizing Autonomy: CNNs in Self-Driving Cars
Revolutionizing Autonomy: CNNs in Self-Driving Cars
A Deep Dive into NVIDIA’s DAVE-2 System for Predictive Steering
Cristian Rodríguez
May 12
Exploring Causality with Python. Synthetic Control Group.
Exploring Causality with Python. Synthetic Control Group.
One can feel intrigued when a newspaper like the Washington Post writes an article about the statistical method. Statistical modeling isn’t…
Lukasz Szubelak
May 11
Design a Multi-Layer Perceptron (MLP) Neural Network for Classification
Design a Multi-Layer Perceptron (MLP) Neural Network for Classification
Build a 2 layer MLP without Back Propagation
Ayo Akinkugbe
May 10
How to Talk to your Computer with Python and OpenAI’s Whisper on your personal machine
How to Talk to your Computer with Python and OpenAI’s Whisper on your personal machine
Speech to text with a neural network running locally
Jake Manger
May 10
Creating a Smart Home AI Assistant
Creating a Smart Home AI Assistant
See Python and a few libraries to create a smart home assistant with the ability to read from a database or API
Michael K
May 10
Stacking Ensemble Method for Brain Tumor Classification: Performance Analysis
Stacking Ensemble Method for Brain Tumor Classification: Performance Analysis
Unlocking Insights through Image Features Extraction
Cristian Rodríguez
May 10
Unpacking Kolmogorov-Arnold Networks
Unpacking Kolmogorov-Arnold Networks
Edge-Based Activation: Exploring the Mathematical Foundations and Practical Implications of KANs
Shenggang Li
May 10
How LLMs Know When to Stop Generating?
How LLMs Know When to Stop Generating?
Understand how LLMs like GPT-4 decide when they have answered your question
Louis-François Bouchard
May 10
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