Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. This is the essence of “Trusted AI Everywhere.”

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Government Finance Deep Learning Data Governance 78

Picnic Engineering

MAY 23, 2023

Large language models like GPT have garnered a lot of attention in recent years for their impressive abilities to generate high-quality texts about a broad range of topics. However, when it comes to natural language processing (NLP) tasks such as text classification, are these models also the best option?

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

Cloudera

NOVEMBER 30, 2023

The Evolution of AI and LLMs Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. The order also promotes fairness and mitigating biases, ensuring that AI technologies do not inadvertently perpetuate discriminatory outcomes.

Government 78

Government Healthcare Education Technology 78

Data Engineering Weekly

OCTOBER 29, 2023

The promise of a unified programming model with a pluggable runtime engine (samza, Spark & Flink) is certainly appealing. Though the blog describes a standard integration pattern, there are a couple of common patterns you can see across many SaaS integrations. But how does the Large Language Model works?

Data Engineering 52

Data Engineering Data Engineer Engineering Algorithm 52

Data Engineering Weekly

MARCH 3, 2024

2) Why High-Quality Data Products Beats Complexity in Building LLM Apps - Ananth Packildurai I will walk through the evolution of model-centric to data-centric AI and how data products and DPLM (Data Product Lifecycle Management) systems are vital for an organization's system. link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

AltexSoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” This idea is also important when working with Generative AI models — whether they produce text, code, or images. Watch our video about data preparation for ML tasks to learn more about this.

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Data Engineering Weekly

JUNE 25, 2023

The author explains about context window in LLM, its limitations, computational complexities, and optimization techniques. Financial Times writes about evaluating the vectorization model for the following use cases. The blog narrates the essence of the asset model below. How to measure the accuracy?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

AUGUST 28, 2023

The release of ChatGPT pushed the interest in and expectations of Large Language Model based use cases to record heights. Every company is looking to experiment, qualify and eventually release LLM based services to improve their internal operations and to level up their interactions with their users and customers.

Machine Learning 76

Machine Learning Data Accessible Accessibility 76

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. Introducing “-Trusted AI” Enter “Trusted AI.”

Insurance 81

Insurance Finance Portfolio Government 81

Data Engineering Weekly

APRIL 23, 2023

Considering the dbt’s large community and widespread adoption, they are entitled and obligated to show the path toward a productive data transformation process. I believe we have reached a point in the industry where we no longer need to explain what is data contract is and why it is beneficial.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Scott Logic

AUGUST 11, 2023

Therefore, Google has had a huge incentive for over two decades to become world experts in making the best search engines, but thanks to the billions sunk into LLMs and cloud you too can now create your own search engine to be (nearly) as good as Google. The two methods discussed in this blog post are designed to do this.

Engineering 52

Engineering AWS Datasets Metadata 52

Data Engineering Weekly

OCTOBER 1, 2023

link] Whatnot: Enhancing Search Using Large Language Models Search functionality undeniably plays a pivotal role in the user experience of e-commerce apps. Whatnot writes about using LLM for query expansion, auto-correct spellings, and the possibility of expanding to a semantic query expansion.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

AltexSoft

JANUARY 18, 2023

Dubbed GPT-3 and developed by OpenAI in San Francisco, it was the latest and strongest of its kind — a “large language model” capable of producing fluent text after having ingested billions of words from books, articles, and websites. With these advances, the concept of language modeling entered a whole new era.

Datasets 64

Datasets Architecture Deep Learning SQL 64

Data Engineering Weekly

JUNE 18, 2023

Sanjeev Mohan: How to Use Large Language Models (LLMs) on Private Data: A Data Strategy Guide Despite all the attention AI garners, some high-profile missteps have reminded the world once again of “garbage in, garbage out.” Sanjeev highlights three options for an organization to adopt with their private model.

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Edureka

DECEMBER 21, 2023

The world of artificial intelligence is abuzz with excitement, and at the center of it all stands ChatGPT, the language model that took the world by storm in 2022. Need captivating Instagram captions or a punchy blog post intro? Cost Considerations: Unlike ChatGPT’s free tier, Chatsonic operates on a subscription model.

Media 40

Media Education Accessible Accessibility 40

Scott Logic

MAY 4, 2023

This blog doesn’t intend to provide an overview of Generative AI or Large Language Models (LLMs), partly as this has been covered in other posts on this blog and our podcast. Ethics are magnified by the sheer power of this latest generation of models. Could users start to trust these systems too much?

Architecture 78

Architecture Machine Learning Data Science Government 78

Data Engineering Weekly

APRIL 9, 2023

[link] Download the full report: [link] Confused bit: Simply explained: how does GPT work? The article explains how GPT works in a simplified way taking from a naive probabilistic model of words, words to meaning and meaning to the relationship. The blog also discusses two burning questions everyone is debating.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Data Engineering Weekly

JULY 9, 2023

link] Capital One: Democratizing machine learning It is an exciting blog post + video interview from Capital One focusing on the people and technology aspect of democratizing the machine learning practice across the org. The blog narrates the optimization and cluster architectural changes by ByteDance on top of ClickHouse.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Tweag

APRIL 19, 2023

Large Language Models (LLMs)… The list of hyped buzzwords goes on and on, even more so since ChatGPT made a wider audience realize what is now achievable. An image of a slide with a low MPP is very large thus slow to read, which is not fit for every use case. Artificial Intelligence (AI). Machine Learning (ML).

Medical 60

Medical Process Cloud Bytes 60

AltexSoft

JUNE 9, 2023

This impressive Large Language Model is altering the landscape across many sectors, with the travel industry emerging as a prime example of its transformational power. If the technical details of large language models don’t interest you, you can skip directly to the use cases section.

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