We're excited to announce the expansion of our #BrickbuilderSolutions in EMEA! By combining the migration expertise of our partner ecosystem with #Lakehouse, our new solutions will help more businesses easily move to a single modern platform. Learn more https://
dbricks.co/3E6Isfv
INNOVATION
-
Databricks Expands EMEA Lakehouse Migration Solutions
By
–
-
Semantic Paper Search Tool Built with OpenAI Embeddings API
By
–
Yo todo lo que hago son cosas puntuales, automatizaciones para el canal o herramientas educativas. En este caso he montado en 1h un buscador semántico con la API de Embeddings de OpenAI que abre una carpeta de papers los preprocesa en .csv y arma el buscador. Todo documentado
-
ChatGPT for Project Development: Time Savings and Practical Applications
By
–
Es que en mi caso no es el de un developer normal, por eso no es una afirmación generalizable y os pregunto cuánto os aporta al resto. En mi caso armo proyectos no muy complejos y con lo que me da de base ChatGPT, retoco un par de cosa, arreglo algún bug y me ahorro un tiempo.
-
AI Homework: How artificial intelligence transforms student learning
By
–
https://
stratechery.com/2022/ai-homewo
rk/
… -
Building Quick Tools for Specific Projects
By
–
Es mi caso, proyectos puntuales donde quiero armar una herramienta rápida.
-
AI Completes Full Day Work in One Hour Without Fatigue
By
–
Hoy en he hecho un día de trabajo en una hora… Y sin cansarme
-
XLA and Automatic Parallelization in JAX for Computation Speed
By
–
XLA & Automatic Parallelization It also supports XLA or Accelerated Linear Algebra, which is an optimizing compiler, designed specifically to increase the computation speed. And also supports Parallelization and can be done using "pmap()" https://
jax.readthedocs.io/en/latest/note
books/quickstart.html
… -
Auto Differentiation: Automating Derivative Calculation with JAX
By
–
Auto Differentiation This is really powerful to automate the calculation of derivatives especially when differentiating complex algorithms and mathematical functions. It is highly useful in training machine learning models and can be done with 'jax.grad()'
-
Jax: A Faster Python Library for Machine Learning and Computing
By
–
"Jax" is a python library for numerical computing, machine learning and is really faster than Numpy Here is why you should care about Jax and its really powerful features in Machine Learning:
-
Detecting AI-Generated Text in Modern Digital Landscape
By
–
How to Spot #Robots in a World of #AI-Generated Text – The New York Times https://
nytimes.com/interactive/20
23/02/17/business/ai-text-detection.html
… @nytimes #MachineLearning #DataScience @BIScorecard @ahier @gvalan @avrohomg @anijov @CatherineAdenle #iot #BigData #Analytics @Shi4Tech @JAdP @Damien_CABADI @enilev @FmFrancoise