AssemblyAI

MAY 23, 2023

With these complex algorithms often labeled as "giant black boxes" in media, there's a growing need for accurate and easy-to-understand resources, especially for Product Managers wondering how to incorporate AI into their product roadmap. During training, text sequences are extracted from the corpus and truncated.

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. To put it simply, if there are superheroes in the data in which the AI model is trained, you can find out who will win if Thor and Superman fight. So what’s the reason for this hype?

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. To put it simply, if there are superheroes in the data in which the AI model is trained, you can find out who will win if Thor and Superman fight. So what’s the reason for this hype?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). In order to train an LLM to become an expert in a particular domain, fine-tuning is usually required.

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AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). In order to train an LLM to become an expert in a particular domain, fine-tuning is usually required.

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AWS Machine Learning Blog

MAY 31, 2023

In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. Recent advances in ML have given rise to a new class of models known as foundation models , which have billions of parameters and are trained on massive amounts of data.

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The MLOps Blog

AUGUST 11, 2023

There comes a time when every ML practitioner realizes that training a model in Jupyter Notebook is just one small part of the entire project. How should they be implemented to accommodate scalability and adaptability whilst maintaining an infrastructure that’s easy to troubleshoot? 1 Data Ingestion (e.g., 1 Data Ingestion (e.g.,

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The MLOps Blog

FEBRUARY 28, 2023

In this era of large language models (LLMs), monolithic foundation models, and increasingly enormous datasets, distributed training is a must, as both data and model weights very rarely fit on a single machine. This article will touch on ten of the most common errors in distributed model training and will suggest solutions to each of them.

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Dataconomy

MAY 16, 2023

In this blog post, we’ll talk about the best freemium & free AI tools to use in 2023, such as: ChatGPT Quillbot Hivemind DALL·E 2 WOMBO Dream NightCafe Kaiber AI Lumen5 Runway AI Do you want to learn more about free AI tools and their best features? AI has a lot of great tools, but unfortunately, not all of them are free.

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AWS Machine Learning Blog

AUGUST 7, 2023

The video gaming industry has an estimated user base of over 3 billion worldwide 1. It will explain the thought process and experimentation behind the solution, including the model training and development process. The customer had both cost and time constraints that made this solution unviable.

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IBM Journey to AI blog

FEBRUARY 9, 2024

Enhanced with fine-tuning techniques and datasets developed by the open source community, many open models can now outperform all but the most powerful closed-source models on most benchmarks, despite far smaller parameter counts. Sam Altman, CEO of OpenAI (whose GPT-4 model is rumored to have around 1.76 households. households. [iv]

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