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Dev of Snowflake map, life of Data lead, Neural networks, ML tools, Amazon Aurora
Big data is dead. Long live easy data, Meta unveils a new large language model
Big Data Dead, ChatGPT resources, self-aware AI, ChatGPT and Whisper APIs debut, Dev of Snowflake map, life of Data lead, Neural networks, ML tools, Amazon Aurora, Meta LLM
Wynter is looking for data science executives to participate in messaging research and get paid for your feedback.
$45-$100 depending on the survey length for literally minutes of effort (takes 2-7mins on average). Super low-key commitment.
Learning how to use ChatGPT can be an exciting and rewarding experience, but it can also be challenging without the right resources. Fortunately, there are many free resources available online to help you learn ChatGPT.
Many experts believe that the era of the self-aware AI is still far ahead in the future. They say that robotic sentience is still highly theoretical and needs ongoing research. However, several technologists and roboticists have claimed to having developed sentient machines.
OpenAI has released ChatGPT and Whisper AI APIs for developers. ChatGPT is a model for generating coherent text and is priced at $0.002 per 1,000 tokens (about 750 words). The Whisper API is priced at $0.006 per minute.
Reproducible code demonstrating the evolution of a recent data viz of CONUS snow cover
“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability.
The World Economic Forum (WEF) defines blockchain as a technology that allows people to transfer assets to one another in a secure way without any intermediaries. It enables transparency, immutability, and autonomous execution of business rules
Working in data has never been harder. The data stack is growing more complex and expectations are higher than ever before. However, one data role has it harder than most: The Data Lead.
The world in 2023 looks different from when the Big Data alarm bells started going off. The data cataclysm that had been predicted hasn’t come to pass. Data sizes may have gotten marginally larger, but hardware has gotten bigger at an even faster rate.
The term “Neural Networks” may seem mysterious, why is an algorithm called Neural Networks? Does it really mimic real neurons, and how?
Meta unveils a new large language model that can run on a single GPU
LLaMA-13B reportedly outperforms ChatGPT-like tech despite being 10x smaller.
This is a list of 25 Java Machine learning tools & libraries. Weka has a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code
Amazon Aurora – Design Considerations for High Throughput Cloud-Native Relational Databases
As part of this paper, we will look into the decisions that led to a scalable database as a service. The primary bottleneck that Aurora tries to solve for is the network as they believe it is a primary constraint for a global scale database.
In three short years OpenAI has released GPT3, Dalle-2 and ChatGPT — a stunning set of products that have reframed what many believe is possible with machine learning.
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And with the COVID-19 pandemic now pushing all learning activities online, more and more L&D programs are being developed to enhance learning in a virtual environment. Most of these programs are adaptive and employ sophisticated AI technologies.
This dataset contains questions and answers from the Stack Overflow Data Dump for the purpose of preference model training. Importantly, the questions have been filtered to fit the following criteria for preference models
Mathematics is the bedrock of any contemporary discipline of science. Almost all the techniques of modern data science, including machine learning, have a deep mathematical underpinning.
SHP is a dataset of 385K collective human preferences over responses to questions/instructions in 18 different subject areas, from cooking to legal advice. The preferences are meant to reflect the helpfulness of one response over another, and are intended to be used for training RLHF reward models and NLG evaluation models.
Apache implemented Hive as data warehouse platform for analysis of data using SQL, on the top of Hadoop map-reduce framework
Watch and listen
Bizarre and Unusual Uses of DNS
If you can think of it, someone's done it in the DNS.
AlphaZero from Scratch
In this machine learning course, you will learn how to build AlphaZero from scratch. AlphaZero is a game-playing algorithm that uses artificial intelligence and machine learning techniques to learn how to play board games at a superhuman level.
⚙️ Tools and Libraries:
MRSK is a web app deployment tool that features zero downtime. It works seamlessly across multiple hosts and can be used to deploy any type of web app that can be containerized. It was built for Rails applications but can be used with other types of apps
A library for creating huge Sqlite indexes at breakneck speeds.
Service Weaver is a programming framework for writing, deploying, and managing distributed applications.
Easy and secure paper backups of secrets.
Mobile UI components made with Tailwind CSS.
An open-source, self-hosted memo hub with knowledge management and social networking.
Real-time events for Postgres.
Open source customer notifications in less than 5 minutes.
A no-framework, no-dependencies, customizable, animate-able, SVG-based <qr-code> HTML element.
For a detailed list of books covering Big data Data Science, Machine Learning, AI and associated programming languages check out our big data books page.
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