Ruth Rosario Chirinos Contreras

#ProductArchitect #IoT #Java #NoSQL.Projects in #AI #ML #Blockchain. Ambassador of #LaPazAI,#RLadies, #DataEconomy. From #Bolivia 🇧🇴 to the World!!

[Ruth Rosario Chirinos Contreras @ruthy_root]

Love it !

[CG @cgtwts]

Anthropic’s Claude Code team just showed how to automate your engineering workflow in under 30 minutes.

straight from the people who built it and it’s completely free.

[AI Spanish Community @aiscwork]

El equipo de Anthropic acaba de publicar cómo hacer prompts en Claude para sacarle el máximo partido.

24 minutos. Gratis. Directo de los que lo construyeron.

Lo he subtitulado al español.

Guárdalo 🔖

[Roan @RohOnChain]

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free.

Bookmark & watch this today before someone takes it down.

[Manisha Mishra @manishamishra24]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Miguel Ángel Durán @midudev]

¡Brutal herramienta para hacer scrapping y automatización de páginas web con IA!

De código abierto, con lenguaje natural (sin selectores) y compatible con modelos de IA.

Te enseño cómo funciona y a extraer información fácil en muy pocas líneas de código:

[Jorge Cortés @jorgecortes74]

Ni el dinero físico (a pesar de Hacienda), ni los transistores con pilas, ni los regeneradores (en especial para hospitales), ni los coches no eléctricos…, deben desaparecer.

Reflexión tras #apagonespana

[Ruth Rosario Chirinos Contreras @ruthy_root]

@Mejor_con_Vox Pero como puede desaparecer esa cantidad de Gigavatios ??? Así de la nada

[Comet @Cometml]

💥 ANNOUNCEMENT: Opik v1.2 is released! 💥

Opik is an open source LLM evaluation framework for:

🔥 Implementing LLM-based metrics
🪲 Logging/debugging LLM traces
💯 Scoring, annotating, and versioning LLM data

And so much more. Check out the repo below.

[Ruth Rosario Chirinos Contreras @ruthy_root]

RT @kaifulee: AI productivity suite @popai can create not only documents, speeches, and powerpoints, but can create video and images from t…

[Elon Musk @elonmusk]

Haters will say this is AI 🕺🕺

[Ruth Rosario Chirinos Contreras @ruthy_root]

@ElonMuskD_C 1

[Buitengebieden @buitengebieden]

Meanwhile at Microsoft headquarters.. 😅

[Marcelo Claure @marceloclaure]

Básicamente han destrozado a mi país 🇧🇴 Las reservas han bajado a casi cero. Es de ciegos pretender que no estamos en una crisis extremadamente preocupante.

[Andrew Ng @AndrewYNg]

LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable performance. In our new short course Quantization Fundamentals taught by @huggingface's @younesbelkada and @_marcsun, you'll:
- Learn how to quantize nearly any open source model
- Use int8 and bfloat16 (Brain float 16) data types to load and run LLMs using PyTorch and the Hugging Face Transformers library
- Dive into the technical details of linear quantization to map 32-bit floats to 8-bit integers

As models get bigger and bigger, quantization becomes more important for making models practical and accessible. Please check out the course here: https://t.co/i8trQdOIOh

[Akshay 🚀 @akshay_pachaar]

Stanford offers FREE Data Science Education!

World-class courses on:

- Machine Learning
- Computer Vision
- Statistical Learning
- Graph Neural Networks
- Reinforcement Learning
- Natural language processing (NLP)
- Large Language Models (LLMs)

Read more...👇

[Freddy Vega @freddier]

Ojalá más gente fuera a la universidad. Pública, privada, lo que sea.

La OCDE estima que en LATAM solo el 12%-25% de graduados de secundaria lo logra (varia por país)

No hay cupos.
O no pueden pagar.
O no pueden trabajar y estudiar.

Educar a ese 75%-88% es el reto real.

[Ruth Rosario Chirinos Contreras @ruthy_root]

Crazy!!

[Reuters Business @ReutersBiz]

Elon Musk said his Neuralink brain-chip startup has put an implant in a human patient for the first time, adding that the patient is recovering well and that ‘initial results show promising neuron spike detection’ https://t.co/Tx21Uu13m6

[Valeriy M., PhD, MBA, CQF @predict_addict]

Looking for the best deep learning course? “Introduction to Deep Learning” by Bhiksha Raj (Carnegie Mellon) has got it covered.

#deeplearning

[Alejandro Martinez | IA @copyelpadrino]

9 potentes herramientas de IA para ahorrar horas de trabajo :

1. https://t.co/VXTXbdVWTe - Buscador automático de cortos en livestream
2. https://t.co/jqiObRd5lJ - Resúmenes de reuniones de IA
3. https://t.co/4GPVXZt91Z - Convierte texto en vídeos con IA
4. https://t.co/l8Lg06oAw4 - Convierte 3 palabras en 10.000
5. https://t.co/zo3i9Q4lIb - Asistente de investigación de IA
6. https://t.co/GKt8EzqwoO - Crear imágenes con IA
7. https://t.co/WKAL9TK66T - Chatea con cualquier documento
8. https://t.co/zCQsMNDkS1 - Creador de presentaciones AI
9. https://t.co/WA0vwPYZvR - Diseños impresionantes en minutos