Archivo de la categoría: AI

Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, Groq etc.] https://github.com/BerriAI/litellm

PydanticAI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI.https://ai.pydantic.dev/

https://github.com/danielmiessler/fabric

https://diffusionbee.com

https://vast.ai

SUMMARY Marvin Minsky reflects on academic experiences, sharing insights on education, perseverance, and the importance of finding one’s niche. IDEAS: Marvin Minsky shares reflections on his time at Princeton. Courses were taught by leading mathematicians and physicists. The importance of perseverance and adaptability in academia. Princeton’s math department had a unique grading philosophy. Finding one’s… Leer más »

SUMMARY Marvin Minsky discusses global issues, potential future disasters, and the implications of advanced AI. IDEAS: Marvin Minsky discusses major global problems and potential solutions. Global warming could displace 20% of the world’s population by 2050. Rising sea levels may lead to significant habitat loss. Overpopulation could exacerbate resource scarcity by mid-century. Various possible disasters… Leer más »

SUMMARY David Dalrymple discusses his transition from AI research at MIT to neuroscience at Harvard, exploring the interplay between mind and brain. IDEAS: David Dalrymple transitioned from AI research to studying neuroscience at Harvard. He focuses on understanding how worms think through biophysics. Neuroscience and AI fit within the larger context of scientific taxonomy. Dalrymple… Leer más »

SUMMARY Marvin Minsky discusses longevity, antibiotic development, and the impact of patents on public health advancements. IDEAS: Longevity in developed countries increased by one year every four since antibiotics. Lifespan in underdeveloped countries is more affected by diseases like tuberculosis, malaria, and AIDS. Recent years saw a slowdown in the development of new antibiotics. Patent… Leer más »

SUMMARY MIT OpenCourseWare content featuring a professor discussing computational complexity and its importance in understanding intelligence. IDEAS: Understanding computational complexity is essential for grasping intelligence in data-related fields. Simplest problems, like vision and language acquisition, are highly complex. Classifying problems by input number and effect size offers a naive complexity understanding. Complex problems often appear… Leer más »