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The road to Software 2.0

O'Reilly Media - Data

Roughly a year ago, we wrote “ What machine learning means for software development.” In that article, we talked about Andrej Karpathy’s concept of Software 2.0. Karpathy argues that we’re at the beginning of a profound change in the way software is developed. Instead, we can program by example.

Software 338
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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.

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What LinkedIn learned leveraging LLMs for its billion users

CIO

During the summer of 2023, at the height of the first wave of interest in generative AI, LinkedIn began to wonder whether matching candidates with employers and making feeds more useful would be better served with the help of large language models (LLMs). We didn’t start with a very clear idea of what an LLM could do.”

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

To achieve the desired accuracy, consistency, and efficiency, Verisk employed various techniques beyond just using FMs, including prompt engineering, retrieval augmented generation, and system design optimizations. Prompt optimization The change summary is different than showing differences in text between the two documents.

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Recycling robotics firm Glacier emerges from stealth with $4.5M

TechCrunch

Areeb Malik used to be a software engineer at Facebook, and Rebecca Hu worked at Bain and Company. Advances in things like computer vision and machine learning have made these devices increasingly well positioned to take on the task. There are a number of companies already operating in the space.

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AI Engineer Vs. ML Engineer: Differentiating Between Roles

Mobilunity

Have you ever wondered how often people mention artificial intelligence and machine learning engineering interchangeably? It might look reasonable because both are based on data science and significantly contribute to highly intelligent systems, overlapping with each other at some points.