#gpt-4

[ follow ]
fromPsychology Today
1 month ago

How AI Could Help Breast Cancer Research

We're already witnessing the emergence of AI scientists and AI-assisted researchers, signaling a shift in the way science is conducted, particularly in drug discovery for cancer.
Artificial intelligence
Scala
fromHackernoon
1 year ago

Evaluating GPT and Open-Source Models on Code Mutation Tasks | HackerNoon

Closed-source LLMs generally outperform open-source models in key metrics.
GPT-4 excels in usability while GPT-3.5 is best for rapid mutation generation.
fromHackernoon
1 year ago

How Many Examples Does AI Really Need? New Research Reveals Surprising Scaling Laws | HackerNoon

Gemini 1.5 Pro displays substantial accuracy gains with increasing demonstrating examples, achieving notable improvements across various datasets, especially in medical QA tasks.
Scala
fromTheregister
2 months ago

LLMs can beat humans in debates - if they get personal info

LLMs are more persuasive than humans in debates when using personal information, posing risks for misinformation.
fromBusiness Insider
2 months ago

Which ChatGPT model is best? A guide on which model to use for coding, writing, reasoning, and more.

OpenAI's GPT-4.5 represents a significant leap in conversational AI, aiming for a more human-like interaction experience through advancements in word knowledge and intuition.
Artificial intelligence
#ai-models
Artificial intelligence
fromInfoQ
3 months ago

OpenAI Introduces GPT4.1 Family With Enhanced Performance and Long-Context Support

OpenAI's new GPT-4.1 models offer substantial improvements in coding, context handling, and efficiency compared to previous iterations.
Artificial intelligence
fromInfoQ
3 months ago

OpenAI Introduces GPT4.1 Family With Enhanced Performance and Long-Context Support

OpenAI's new GPT-4.1 models offer substantial improvements in coding, context handling, and efficiency compared to previous iterations.
fromHackernoon
8 months ago

Batched Prompting for Efficient GPT-4 Annotatio | HackerNoon

The cost of running the experiment highlighted significant expenses for sampling outputs and annotating them, with a total estimated cost of around $40,000.
Artificial intelligence
[ Load more ]