Manuel Artés
@MANUELARTDEV
Software Developer🧑🏻💻| 🚀Computer Science student📚📝| I love #Python🐍 and #Javascript 🟨⚛️ for programming | I'm a Machine learning and AI hobbyist🤖
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Italian mathematician Giacomo Candido discovered this identity for three sequential Fibonacci numbers. yellow area = white area e.g. (8²+13²+21²)²=2(8⁴+13⁴+21⁴) 8⁴+13⁴+21⁴=2((8·13)²+(8·21)²+(13·21)²)
In a Science study, @MetaAI researchers show the power of a large language model, #ESMFold, to enable protein structure prediction and analysis. Using ESMFold, they generated a database—the ESM Metagenomic Atlas—of over 600 million metagenomic proteins. scim.ag/1Uv
Python is Powerful 🔥 Learn how to extract Tables from PDF & load it as a Pandas df 🐼 Check this out 👇
🎯We released GPT-J-6B INT8 ONNX models (first time for INT8 ONNX LLM❓) with ~4x model size reduction while preserving ~99.9% accuracy of FP32 baseline. 🔥GPT-J-6B INT8 models are now publicly available at Hugging Face model hub! huggingface.co/Intel/gpt-j-6B… huggingface.co/Intel/gpt-j-6B…
huggingface.co
Intel/gpt-j-6B-int8-dynamic-inc · Hugging Face
Intel/gpt-j-6B-int8-dynamic-inc · Hugging Face
Metagenomic proteins are some of the least understood proteins on earth. Now with AI it is becoming possible to see deep into the structures of proteins and the incredible complexity of the natural world. Published in today’s issue of @sciencemagazine. science.org/doi/10.1126/sc…
With its extensive libraries and active community, R is an essential tool for any data scientist. In this article, we will discuss the essentials of data science using R. pyoflife.com/the-essentials… #DataScience #DataVisualization #RStats #statistics #data #programming #codinglife
I finally read up on how models like ChatGPT/GPT-4 differ from “traditional” language models. One major difference is Reinforcement Learning from Human Feedback (RLHF) I found this post to be a great starting point: huggingface.co/blog/rlhf A few take aways: 🧵 (1/12)
🧑🏻💻¿Has oídode OpenChatkit?🤖🧐 Recientemente los campeones de IA de código abierto Together Ontocord y LAION colaboraron para lanzar OpenChatKit una alternativa de código abierto a ChatGPT pub.towardsai.net/openchatkit-is… #InteligenciaArtificial #ChatGPT #MachineLearning #deeplearning
pub.towardsai.net
OpenChatKit is an Open Source Alternative to ChatGPT
The framework was created by the collaboration of Togeter, LAION, and Ontocord.
𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀: build your own microGPT. Learn how to hardcode your self-attention layer to compute a histogram and compare it to your trained GPT. course: dataflowr.github.io/website/module… code: github.com/dataflowr/note… solution: github.com/dataflowr/note…
#DataScience Roadmap 🤖 #MachineLearning #Python #Coding #DataScientist #AINews #SwissCognitive #DeepLearning #technology #BigData #Analytics #DataScience #AI #IoT #IIoT #CloudComputing #DataScientist #Programming #Coding #100DaysofCode
La ciencia de datos es una disciplina increíblemente amplia y compleja, una intercepción de la informática, las matemáticas y un dominio del conocimiento que requiere la comprensión de la fuente de datos. medium.com/activewizards-… #DataScience #DataAnalytics #MachineLearning #iA
medium.com
Data Science for Managers [Mindmap]
Data science has become an integral part of many modern projects and businesses, with an increasing number of decisions now based on data…
👉 Machine Learning with Graphs (Stanford University) Learn some of the latest graph techniques in machine learning: PageRank Matrix Factorizing Node Embeddings Graph Neural Networks Knowledge Graphs 🔗 youtube.com/playlist?list=…
¿Has oído hablar de Maximum Likelihood? Este es un principio importante en el aprendizaje automático y las estadísticas y este artículo resulta muy descriptivo. medium.com/@roiyeho/maxim… #DataAnalytics #dataScientist #matematicas #MachineLearning #Artificial_Intelligence #Maths #iA
medium.com
Maximum Likelihood (Simplified)
Maximum likelihood is an important principle in probability theory that can be used to estimate the unknown parameters of a probability…
Siméon-Denis Poisson derived the famous Poisson distribution in 1830 to describe the number of times a gambler would win a rarely won game of chance in a large number of tries. Today, this probability function models a wide range of events in all kinds of disciplines. #MathType
Python REST API Tutorial | How to Build a Python Flask REST API #python #Flask morioh.com/p/5a0cc468b3a6…
10 Free Python Courses to upskill in 2023! CS50's Introduction to Programming with Python -- lnkd.in/dzTekpHp Python Tutorials for Absolute Beginners by CS Dojo -- lnkd.in/d39TnzKr More in Tweet thread below!
¿Has oído hablar del Transfer Learning ? Este artículo es bastante bueno e ilustrativo al respecto. datasciencemilan.medium.com/an-introductio… #DataScience #DataAnalytics #MachineLearning #AI #data #Python #ArtificialIntelligence
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