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Generative AI explained

When OpenAI released ChatGPT on November 30, 2022, no one could have anticipated that the following 6 months would usher in a dizzying transformation for human society with the arrival of a new generation of artificial intelligence. Since the emergence of deep learning in the early 2010s, artificial intelligence has entered its third wave of development. The introduction of the Transformer algorithm in 2017 propelled deep learning into the era of large models.

DevAlert 2.0 Now Available

DevAlert 2.0, which is now immediately available from Percepio, is a major upgrade to our edge observability platform. The upgrade provides much improved diagnostic capabilities, including core dumps for Arm Cortex-M devices. This allows remote inspection of crashes, errors or security anomalies in full detail, including the function call stack, parameters and variables and with source code display.

The Silent Revolution in Education: A Guide to Transcription Tools

In the ever-evolving landscape of education, where the traditional meets the technological, there exists a silent revolution that is quietly reshaping the way we teach and learn. This guide aims to delve into the often-overlooked hero: academic transcription services. Born out of the necessity to document lectures, these services have undergone a remarkable evolution, transforming into versatile tools that cater to diverse learning needs, ultimately making educational content more accessible than ever before.

Using Honeycomb for LLM Application Development

Ever since we launched Query Assistant last June, we’ve learned a lot about working with—and improving—Large Language Models (LLMs) in production with Honeycomb. Today, we’re sharing those techniques so that you can use them to achieve better outputs from your own LLM applications. The techniques in this blog are a new Honeycomb use case. You can use them today. For free. With Honeycomb.

Automate insights-rich incident summaries with generative AI

Does this sound familiar? The incident has just been resolved and management is putting on a lot of pressure. They want to understand what happened and why. Now. They want to make sure customers and internal stakeholders get updated about what happened and how it was resolved. ASAP. But putting together all the needed information about the why, how, when, and who, can take weeks. Still, people are calling and writing. Nonstop.

Build Operational Resilience with Generative AI and Automation

For modern enterprises aiming to innovate faster, gain efficiency, and mitigate the risk of failure, operational resilience has become a key competitive differentiator. But growing complexity, noisy systems, and siloed infrastructure have created fragility in today’s IT operations, making the task of building resilient operations increasingly challenging.

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Building Exceptional Products: Almaden's Approach

In today's dynamic world of technology and innovation, building products that resonate with customers and stand the test of time is no easy feat. At Almaden, we've cultivated a unique, Customer-Centric Product Design, approach to product development that prioritizes the customer's perspective over mere technological prowess. In this blog post, we'll delve into the core principles that drive our product development process, emphasizing the importance of understanding objectives, agile methodologies, and the modern tools we use to bring our ideas to life.

Using Amazon SageMaker orb to orchestrate model deployment across environments

This tutorial guides you on how to use the Amazon SageMaker Orb to orchestrate model deployment to endpoints across different environments. It also shows how to use the CircleCI platform to monitor and manage promotions and rollbacks. It will use an example project repository to walk you through every step, from training a new model package version to deploying your model across multiple environments.