Meet MPT-7B: A Suite of Open Source, Commercially Available LLMs that Supports 65k Tokens
Author(s): Jesus Rodriguez Originally published on Towards AI. The new suite of models was released by MosaicML and support models optimized for Instructions, Chats, Stories and More. Image Credit: MosaicML I recently started an AI-focused educational newsletter, that already has over 150,000 …
Machine Translation, but Unsupervised
Author(s): Yunzhe Wang Originally published on Towards AI. Decoding the Intricacies of Unsupervised Neural Machine Translation: A Deep Dive into its Mechanisms and Potential βUnsupervised Machine Translationβ, Image by Midjourney In the ever-evolving landscape of machine translation, Unsupervised Neural Machine Translation (UNMT) …
Compare ChatGPT to Machine Learning Techniques for Sentiment Analysis in 2023
Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. Yes! ChatGPT Is A Powerful AI Model for Sentiment Analysis Source: Image created with Midjourney by the author Check out my other articles in this series on using ChatGPT for sentiment analysis of customer …
This AI newsletter is all you need #47
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week AI progress continued down dual paths with significant advancements in open-source models together with developments at companies like Anthropic, Google, and Meta …
5 Papers You Can't-Miss: Reinforcement Learning
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Image by Author with @MidJourney Reinforcement Learning (RL) is an important subfield in the area of machine learning that deals with agent programs learning actions in an environment to minimize a loss function …
5 Papers You Can't-Miss: Reinforcement Learning
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author with @MidJourney Reinforcement Learning (RL) is an important subfield in the area of machine learning that deals with …
If You Want to Learn Statistics, Without Boring, Read This
Author(s): Gencay I. Originally published on Towards AI. Simplifying Statistics for Data Science, and Machine Learning with Python: An Engaging Guide for the Curious Mind Image by Author- Created in Canvas Do you find yourself overwhelmed by the complexities of Statistics as …
How OpenAI Uses GPT-4 to Interpret Neurons in LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. A new interpretability method based on GPT-4 can derive explanations about specific neurons in LLMs. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a …
Genetic Algorithms and the Knapsack Problem: A Beginnersβ Guide
Author(s): Egor Howell Originally published on Towards AI. Get hands-on experience with genetic algorithms and learn how to solve the knapsack problem step by step Photo by Vinicius Benedit on Unsplash In one of my previous articles, we introduced and discussed the …
Deploying a Langchain Large Language Model (LLM) with Streamlit & Pinecone
Author(s): Mostafa Ibrahim Originally published on Towards AI. Deploying a full-stack Large Language model application using Streamlit, Pinecone (vector DB) & Langchain Photo by David PupΔzΔ on Unsplash LangChain is a library that helps developers build applications powered by large language models …
AI Race Heating Up: Google Announces PALM-2
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Mother of 100 languages, a Unified Language Model Ladies and gentlemen, the future is here! Google is about to drop some serious AI knowledge bombs at its annual developer conference. And …
This AI newsletter is all you need #46
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we were interested to see some of the latest advancements in NLP and LLMs being applied to biology and medicine. OpenAI was …
Deep Learning from Scratch in Modern C++: Gradient Descent
Author(s): Luiz doleron Originally published on Towards AI. Letβs have fun by implementing Gradient Descent in pure C++ and Eigen. In this story, we will cover the fitting of 2D convolution kernels from data by introducing the Gradient Descent algorithm. We will …
How To Get Started With Computer Vision In 2023?
Author(s): Hasib Zunair Originally published on Towards AI. A zero to a non-zero roadmap to becoming a computer vision engineer or researcher in 2023. Know what to learn and how to apply the learned skills in real-world projects to get into industry …
Compare and Evaluate Object Detection Models From TorchVision
Author(s): Abby Morgan Originally published on Towards AI. Visualizing the performance of Fast RCNN, Faster RCNN, Mask RCNN, RetinaNet, and FCOS Comparing object detection models from PyTorch; Image by author Introduction Object detection is one of the most popular applications of machine …
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