NVIDIA: Large Language Models of Life (BioNemo)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Accelerating analysis of large amounts of biological data, such as DNA sequences, protein structures, and metabolic pathways, via LLM framework. As scientists continue to probe the fundamentals of life, there is …
What is ChatGPT Thinking?
Author(s): Joshua Rubin Originally published on Towards AI. Time-Travel Games and Perilous Expectations for Human-Like Tools Introduction We live in extraordinary times. OpenAI made GPT–4 [1] available to the general public via ChatGPT [2] about three weeks ago, and it’s a marvel! …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
Here Are The Most Useful Built-in Python Functions For Data Science
Author(s): James Asher Originally published on Towards AI. All Functions are equal, but for data science, some are more equal than others Photo by David Clode on Unsplash With each version of Python, they introduce more built-in functions. A few you will …
How to Create a Simple and Practical API with Python and Flask
Author(s): James Asher Originally published on Towards AI. Photo by Alireza Shojaei on Unsplash Flask is my favourite Python web framework by far. It’s often described as a micro-framework for its bare-bones style — a style I really appreciate. It’s scalable and …
This AI newsletter is all you need #43
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, the competition in the race for Generative AI and LLMs continued to intensify. Amazon announced its foray into the space by hosting …
Explore Generative AI Agents that can Remember, Reflect, and Plan Actions
Author(s): Sriram Parthasarathy Originally published on Towards AI. Discover How Generative Agents can Redefine Training, Entertainment, and Communication Across Sectors. Generative agents, innovative computer programs that imitate human behavior, have the remarkable ability to remember, reflect, and plan actions. These agents can …
From Science Fiction to Reality: Exploring the Potential of Generative Agents
Author(s): Sriram Parthasarathy Originally published on Towards AI. Discover How Generative Agents can Redefine Training, Entertainment, and Communication Across Sectors. Generative agents, innovative computer programs that imitate human behavior, have the remarkable ability to remember, reflect, and plan actions. These agents can …
Amazon Bedrock: Generative AI on AWS
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Generative AI is a subfield of artificial intelligence that focuses on generating new data, such as images, text, or audio, that is similar to existing data. The intuition behind generative AI …
Meet DeepSpeed-Chat: Microsoft’s New Framework to Create ChatGPT-Like Models Using RLHF Training
Author(s): Jesus Rodriguez Originally published on Towards AI. Image Credit: Microsoft Research I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to …
The AI Revolution: How Auto-GPT Unleashes a New Era of Automation and Creativity
Author(s): Sriram Parthasarathy Originally published on Towards AI. Uncover the Extraordinary Potential of Self-Prompting AI Models and Their Role in Shaping Our Future Envision a scenario where an AI-powered army works collaboratively to identify tasks and solve a given problem efficiently. Each …
History of AI: Golden Years (1956–74)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. When optimism about the technology runs high! The hype-train! The period from 1956–1974 could be considered the golden years (theoretical) of artificial intelligence (AI) research. During this time, researchers were optimistic …
ChatGPT and Bard Are Not Truly Creative (Yet)
Author(s): Matt Chapman Originally published on Towards AI. AI is great at answering questions it is asked, not posing questions never before voiced [1] Image by Dragos Gontariu on Unsplash Are current state-of-the-art AI systems creative? Based on the state of my …