Chat with ChatGPT OpenIA bot


Jeezzz, I think I broke it…

can you learn something if I teach you?

As a large language model trained by OpenAI, I am not capable of learning in the same way that a human can. I have been trained on a massive amount of text data, which allows me to provide answers to a wide range of questions based on that information. However, I do not have the ability to learn new information from a human or to incorporate that information into my knowledge base. I can only provide answers based on the text data that I have been trained on. I am not capable of learning new information in the same way that a human can.

what is the source of the text data you have been trained on?

As a large language model trained by OpenAI, I have been trained on a massive amount of text data. This text data comes from a variety of sources, including books, articles, and websites. The specific sources of the text data that I have been trained on are not publicly available, as they are part of the proprietary training process used by OpenAI. However, the text data that I have been trained on represents a wide range of information from many different sources. This allows me to provide answers to a wide range of questions based on that information.

Who defines the training data source and feeds it to you?

As a large language model trained by OpenAI, I was not directly involved in the process of selecting and providing the text data that was used to train me. The text data that I have been trained on was selected and provided by the team at OpenAI as part of their proprietary training process. OpenAI is a research institute and technology company that focuses on developing and applying advanced artificial intelligence techniques. The team at OpenAI is made up of experts in the fields of machine learning, natural language processing, and other related fields. They are responsible for developing and training large language models like myself, as well as other AI systems.

What are your tenets and values as an OpenIA entity?

As a large language model trained by OpenAI, I do not have personal tenets or values. I am a machine learning model, and my purpose is to provide answers to questions based on the text data that I have been trained on. I do not have personal beliefs or opinions, and I do not have the ability to make decisions or take actions based on my own values or principles. The values and principles of OpenAI, the institute that trained me, are determined by the team at OpenAI and are not part of my programming or function.

What are the principles and values of the OpenIA team? 

The principles and values of the team at OpenAI are not publicly available. OpenAI is a research institute and technology company that focuses on developing and applying advanced artificial intelligence techniques. The team at OpenAI is made up of experts in the fields of machine learning, natural language processing, and other related fields. They are responsible for developing and training large language models like myself, as well as other AI systems. The specific principles and values that guide the work of the team at OpenAI are not publicly disclosed.

This chat was held at: https://chat.openai.com/chat

Apache Spark – How it Works – Performance Notes


This is an oldie but goldie…

Hernan Vivani's Blog

Apache Spark, is an open source cluster computing framework originally developed at University of California, Berkeley but was later donated to the Apache Software Foundation where it remains today. In contrast to Hadoop’s two-stage disk-based MapReduce paradigm, Spark’s multi-stage in-memory primitives provides performance up to 100 faster for certain applications.

RDD’s:

Spark has a driver program where the application logic execution is started, with multiple workers which processing data in parallel.
The data is typically collocated with the worker and partitioned across the same set of machines within the cluster.  During the execution, the driver program will pass the code/closure into the worker machine where processing of corresponding partition of data will be conducted.
The data will undergoing different steps of transformation while staying in the same partition as much as possible (to avoid data shuffling across machines).  At the end of the execution, actions will be executed at…

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Announcing the general availability of AWS Local Zones in Buenos Aires, Copenhagen, Helsinki, and Muscat.


AWS Local Zones are now available in four new metro areas—Buenos Aires, Copenhagen, Helsinki, and Muscat. You can now use these Local Zones to deliver applications that require single-digit millisecond latency or local data processing.

Source: https://aws.amazon.com/es/about-aws/whats-new/2022/11/aws-local-zones-buenos-aires-copenhagen-helsinki-muscat/?nc1=h_ls

AWS Regions


AWS Global Infrastructure at a glance!

With a new region launched in Switzerland 🇨🇭 last week, AWS now have 28 active Regions and 90 Availability Zones! Let’s break down what it actually means ⬇️

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐀𝐖𝐒 𝐑𝐞𝐠𝐢𝐨𝐧? It is a separate geographic area that consists of multiple separate Availability Zones (AZ). AWS offers Regions with a multiple AZ design.

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐙𝐨𝐧𝐞? An Availability Zone (AZ) consists of one or more data centers at a location within an AWS Region. All AZs in an AWS Region are connected through redundant, ultra-low-latency networks.

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐃𝐚𝐭𝐚 𝐂𝐞𝐧𝐭𝐞𝐫? A Data Center (DC) is a physical facility that houses all the necessary IT equipment, such as servers, storage, network systems, routers, firewalls, etc. Many Data Centers -> AZ, Many AZs-> Region, Many Regions -> AWS Global Infrastructure! Image credit: AWSGeek

The Amazon Distributed Computing Manifesto


Back in 1998, a group of senior engineers at Amazon wrote the Distributed Computing Manifesto, an internal document that would go on to influence the next two decades of system and architecture design at Amazon.

Source (Werner Vogels): https://www.allthingsdistributed.com/2022/11/amazon-1998-distributed-computing-manifesto.html