- The Cloud computing NA 2024 event is being held in Salt Lake City, and the attendees are thanked for coming, with a special mention of the enthusiasm around last-minute tickets and registrations (00:07:36).
- The volunteers, org team, and venue staff are thanked for their efforts in making the event possible, with a mention of the venue's amenities and the efforts of the org team in accommodating the attendees (00:09:00).
- The program committee is thanked for their critical role in reviewing proposals and creating the schedule, with a mention of the narrow timeline they had to work with (00:11:13).
- The spon
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This gist focuses on core concepts that will help you to build and connect any type of application around LLMs. I have taken a specific use case of a chatbot for policy documents, but developers can apply the same foundational concepts to their unique use cases. The principles discussed here provide a versatile framework applicable across various scenarios.
Imagine you have questions about your company's leave policy. Who do you turn to? For many, it might be a colleague or an HR representative. But what if there were an even easier way—a way that didn't involve waiting for email replies or tracking someone down at their desk? Enter Aubai, an advanced chatbot powered by the latest AI technologies that can answer all your policy-related queries instantly. Let's dive into the world of Aubai and explore how it's built to make your life easier.
Constructing a
Someone on Twitter asked what if Khairul Aming wanted to set up his own website for his sambal? For those who may not know, his product has gained fame and typically sells out quickly once he opens orders. At present, he utilizes Shopee.
From a business standpoint, it's advisable for him to stay with Shopee. My post is primarily for educational purposes.
Disclaimer: I am not an SRE/DevOps professional, but rather someone eager to share insights that might broaden understanding of web scalability, drawn from my limited experiences. Therefore, there may be inaccuracies, though I hope none too significant.
Expect some odd structuring in the paragraphs, as the content was initially made for Twitter.
IETF - https://www.ietf.org/standards/
IANA - https://www.iana.org/
IEEE - https://www.ieee.org/
- Header
- contain formation about the type of data being passed
- Data
The following provides the details required to reproduce the demo given on the Real-time SQL analytics at scale: A story of open-source GitHub activity using ClickHouse + Grafana webinar.
This provides a Grafana dashboard showing an analysis of the history of the Grafana repository, including common commiters, most popular issues, largest commits and files with the longest history.
This dataset contains all of the commits and changes for the ClickHouse repository. It can be generated using the native git-import tool distributed with ClickHouse.
The generated data provides a tsv file for each of the following tables:
commits- commits with statistics;file_changes- files changed in every commit with the info about the change and statistics;line_changes- every changed line in every changed file in every commit with full info about the line and the information about the previous change of this line.
