Compliance AI-based computational pathology models and platforms to support model functionality were developed using Good Clinical Practice/Good Clinical Laboratory Practice principles, including controlled process and testing documentation. Ethics This study was conducted in accordance with the Declaration of Helsinki and…
Introduction The rise of Large Language Models (LLMs) has marked a significant advancement in the era of Artificial Intelligence (AI). During this period, Cloud Graphic Processing Units (GPUs) offered by Paperspace + DigitalOcean have emerged as pioneers in providing high-quality…
Today, we are launching dynamic few-shot example selectors as part of LangSmith. Few shot prompting is a common technique used to improve application performance. Dynamically selecting the examples for a few-shot prompt can yield further improvements. To do this, you…
This paper was presented at the IEEE 2024 Conference on Games (opens in new tab) (IEEE CoG 2024), the leading forum on innovation in and through games. In the fast-evolving landscape of video game development, crafting dialogues and narratives is…
This paper was presented at the IEEE 2024 Conference on Games (opens in new tab) (IEEE CoG 2024), the leading forum on innovation in and through games. Mastering the art of storytelling, a highly valued skill across films, novels, games,…
In December 2023, the Eleuther team published Eliciting Latent Knowledge from Quirky Language Models. We finetuned language models to behave in a “quirky” manner on a collection of question and answer datasets. When a prompt began with “Alice:”, these models…
Home » Blog Table of Contents Exploring Probabilistic Search: The Power of the BM25 Algorithm Probabilities in Search: The Probability Ranking Principle (PRP) The Probability Ranking Principle (PRP) Using Matching Score to Compute Relevance The Okapi BM25 Algorithm The BM25…
In this article, we will carry forward with the series of fine tuning LRASPP MobileNetV3 on the IDD Segmentation dataset. This time, we will train on the entire Indian Driving Dataset (IDD) and export the model to ONNX. Figure 1.…
Synthesized dataset Here, we utilize synthetic data generated based on latent factors with sparse dependencies to validate whether these sparse dependencies can be accurately estimated. Data generation We generate K datasets consisting of N samples, each containing V observed variables.…
Ethical Statement All mouse procedures were performed as approved by the Broad Institute Institutional Animal Care and Use Committee (IACUC), approval number 0213-06-18-1. For the cynomolgus macaque experiment (n = 1), the study plan involving the care and use of animals was…
PhiGnet for protein function annotations In this study, we developed the PhiGnet method using statistics-informed graph networks to annotate protein functions and to identify functional sites across species based on their sequences (Fig. 1). To assimilate knowledge from the evolutionary couplings…
At Sequoia’s AI Ascent conference in March, I talked about three limitations for agents: planning, UX, and memory. Check out that talk here. This is our second post on UX for agents, focused on ambient agents. In our previous blog…