Evolving To Truly Adaptive And Intelligent Automation via @forbes https://
forbes.com/sites/ronschme
lzer/2024/06/20/evolving-to-truly-adaptive–intelligent-automation/?utm_source=dlvr.it&utm_medium=twitter
…
AGENTS
-
Evolving to Truly Adaptive and Intelligent Automation
By
–
-
Low-Temperature Sampling and Diverse Datasets for AI Transcendence
By
–
How? Low-temperature sampling concentrates probability on high-reward actions. Diverse datasets (with lower rating caps) were crucial for transcendence. It's like "wisdom of the crowd" but for AI!
-
OpenInterpreter New Release Demo Gets Positive Feedback
By
–
OpenInterpreter's new release is super cool, thanks for the demo @hellokillian
. Love it! -
Open Interpreter Community Acknowledges Key Contributors
By
–
Appreciate the kind words. These all are the efforts of @hellokillian
, @MikeBirdTech and the amazing @OpenInterpreter community. -

OpenDevin Generates Custom Math Problems for Children’s Learning
By
–
On Father’s Day last weekend, I sat with my daughter to help her practice solving arithmetic problems. To give her practice problems, I used OpenDevin, an open-source agentic coding framework, to write a Python script that generated questions that she enjoyed answering at her own
-
Claude can program a playable snake game
By
–
It can program a snake game that you can play directly within Claude.
-
Function Calling and Data Extraction Techniques for LLMs
By
–
Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with @NexusflowX and taught by @JiantaoJ and @VenkatKSrini, demonstrates how to… pic.twitter.com/VkXYqDPZcu
— Andrew Ng (@AndrewYNg) 20 juin 2024Function calling is a powerful way to extend the capabilities of LLMs and AI agents by letting them use external tools. Our new short course Function calling and Data Extraction with LLMs, created with @NexusflowX and taught by @JiantaoJ and @VenkatKSrini
, demonstrates how to -

Anthropic Sonnet 3.5 Shows 68% Improvement in Agentic Coding
By
–
Las pruebas internas realizadas por Anthropic muestran una mejora notable en tareas de "Agentic Coding". Es decir, tareas de programación que requieren ver un repositorio de código, hacer mejoras, arreglar fallos… Donde Opus resolvía el 38% Sonnet 3.5 ahora resuelve el 64%
-

Claude lets you review code changes
By
–
Whenever you ask it to modify code, Claude also lets you switch between different versions.
-

Claude 3.5 generates live React JSX
By
–
Claude 3.5 just generated React JSX code for a simple contact form and successfully ran it in the Artifacts playground.