deepsense.ai

OCTOBER 30, 2023

In this blog post we walk you through our journey creating an LLM-based code writing agent from scratch – fine tuned-for your needs and processes – and we share our experience of how to improve it iteratively. Introduction This article is the second part in our series on Coding Agents.

LLM 113

LLM Data Science Software Engineer Software Development 113

IBM Journey to AI blog

MARCH 19, 2024

Below are some ways that AI is enhancing the recruitment process across its workflow, from discovering hiring needs to attracting, courting, onboarding and retaining top talent. Nobody likes paperwork. These tasks aren’t all tedium, and in fact, they often require human-level discernment.

Automation 165

Automation AI AI Chatbots 165

BAIR

APRIL 25, 2022

Offline reinforcement learning allows learning policies from previously collected data, which has profound implications for applying RL in domains where running trial-and-error learning is impractical or dangerous, such as safety-critical settings like autonomous driving or medical treatment planning.

Robotics 130

Robotics Algorithm Explainability 130

AWS Machine Learning Blog

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering AI 98

Stanford ILIAD

OCTOBER 28, 2019

For instance, imagine that you are working with a robot partner to move a table, and you notice that your partner is about to back into an obstacle they cannot see. In this blog post, we explore how robot teams should harness the implicit communication contained within actions to learn about the world. Motivation.

Robotics 52

Robotics Explainability 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

It’s tailored to address a multitude of applications in both the commercial and research domains with English as the primary linguistic concentration. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion. This combination prioritizes alignment with human-centric norms, striking a balance between efficiency and safety.

LLM 85

LLM Large Language Models Chatbots Generative AI 85

Heartbeat

JANUARY 29, 2024

Imagine an AI system that becomes proficient in many tasks through extensive training on each specific problem and a higher-order learning process that distills valuable insights from previous learning endeavors. Among the myriad breakthroughs in this field, Meta-Learning is pushing the boundaries of machine learning. What is Meta-Learning?

Machine Learning 52

Machine Learning Neural Network Natural Language Processing Algorithm 52