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The 10 Best AI Search Engines to Try in 2024

Unite.AI

MARCH 15, 2024

This problem is highlighted by an extensive study that reviewed 7,392 product review queries on Google, Bing, and DuckDuckGo , which revealed a worrying decline in the quality of search results. They introduce cutting-edge features like AI reverse and product searches to offer more profound, meaningful insights.

AI AI OpenAI LLM

Generative AI use cases for the enterprise

IBM Journey to AI blog

FEBRUARY 13, 2024

Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Automate tedious, repetitive tasks.

Generative AI

Generative AI AI AI Chatbots

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Webinars

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

How To Get Promoted In Product Management

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Trending Sources

A secure approach to generative AI with AWS

AWS Machine Learning Blog

APRIL 16, 2024

Customers are building generative AI applications using large language models (LLMs) and other foundation models (FMs), which enhance customer experiences, transform operations, improve employee productivity, and create new revenue channels.

Generative AI

Generative AI AI AI ML

Webinars

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

How To Get Promoted In Product Management

MORE WEBINARS

Personalizing Heart Rate Prediction

Bugra Akyildiz

MAY 12, 2024

Articles Apple wrote a blog post that presents a hybrid machine learning approach for personalizing heart rate prediction during exercise by combining a physiological model based on ordinary differential equations (ODEs) with neural networks and representation learning. on heart rate dynamics.

Neural Network

Neural Network Large Language Models Python Machine Learning

What are Large Language Models (LLMs)? Applications and Types of LLMs

Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size. rely on Language Models as their foundation.

Large Language Models

Large Language Models BERT Natural Language Processing Categorization

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

IBM Journey to AI blog

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. One area that has not seen much innovation is at the far edge and on constrained devices. One area that has not seen much innovation is at the far edge and on constrained devices. Is smaller better?

Hybrid AI

Hybrid AI LLM Large Language Models AI

Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2

AWS Machine Learning Blog

DECEMBER 13, 2023

In this post, we showcase fine-tuning a Llama 2 model using a Parameter-Efficient Fine-Tuning (PEFT) method and deploy the fine-tuned model on AWS Inferentia2. We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high performance.

Auto-complete

Auto-complete Machine Learning Deep Learning Python

Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning Blog

FEBRUARY 14, 2024

Intelligent applications, powered by advanced foundation models (FMs) trained on huge datasets, can now understand natural language, interpret meaning and intent, and generate contextually relevant and human-like responses. Prompt engineering makes generative AI applications more efficient and effective.

Prompt Engineer

Prompt Engineer Prompt Engineering Generative AI AI Chatbots

Deep Learning Approaches to Sentiment Analysis (with spaCy!)

ODSC - Open Data Science

APRIL 28, 2023

It’s always good to start a blog post with a joke (even if it’s not a very good one): Why is this funny? In English, “well” can refer to a state of being and a device for retrieving water. If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. It’s all about context!

Deep Learning

Deep Learning Convolutional Neural Networks Neural Network NLP

Intelligent video and audio Q&A with multilingual support using LLMs on Amazon SageMaker

AWS Machine Learning Blog

AUGUST 15, 2023

Digital assets are vital visual representations of products, services, culture, and brand identity for businesses in an increasingly digital world. The advancements in large language models (LLMs) have led to richer representations of texts, which provides better search capabilities for digital assets.

Chatbots

Chatbots Metadata LLM Generative AI

Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning Blog

AUGUST 22, 2023

Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. Native support for distributed training is offered through the Amazon SageMaker SDK, along with example notebooks in popular frameworks. What is federated learning?

Machine Learning

Machine Learning ML Algorithm Python

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

Machine Learning

Machine Learning Metadata Data Quality Data Scientist

Google introduces AdaTape, Salesforce introduces LAM(Large Action Model)s

Bugra Akyildiz

AUGUST 19, 2023

Articles Google wrote a blog post in the document understanding where the blog post discusses the recent advances in document understanding, with a focus on the Visually Rich Document Understanding (VRDU) dataset. This is because larger models are able to learn more complex relationships between text and visual information.

Automation

Automation LLM Neural Network Machine Learning

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. To mitigate these challenges, we propose using an open-source federated learning (FL) framework called FedML , which enables you to analyze sensitive HCLS data by training a global machine learning model from distributed data held locally at different sites.

Machine Learning

Machine Learning ML Algorithm Data Scientist

Beyond OpenAI in Commercial LLM Landscape

John Snow Labs

JULY 19, 2023

This blog post explores the emerging players in the commercial large language model (LLM) landscape, namely Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. In this blog post, we will dive into the fascinating ecosystem of LLM companies. billion in funding by June 2023.

LLM

LLM OpenAI Large Language Models NLP

The most important AI trends in 2024

IBM Journey to AI blog

FEBRUARY 9, 2024

In the decades that followed, incremental advances yielded home computers that hobbyists could tinker with. DeepFloyd and Stable Diffusion have achieved relative parity with leading proprietary models. DeepFloyd and Stable Diffusion have achieved relative parity with leading proprietary models.

AI AI Generative AI Artificial Intelligence

Reducing the cost of LLMs with quantization and efficient fine-tuning: how can businesses benefit from Generative AI with limited hardware?

deepsense.ai

FEBRUARY 28, 2024

The wide adoption of ChatGPT and other large language models (LLMs) among individuals made companies of all sizes and across all sectors of industry wonder how they could benefit from this upward-trending technology. Fortunately, recent developments in the field have allowed companies to significantly lower these expenses.

Generative AI

Generative AI LLM Neural Network Algorithm

The 10 Best AI Search Engines to Try in 2024

Generative AI use cases for the enterprise

Webinars

Trending Sources

A secure approach to generative AI with AWS

Webinars

Personalizing Heart Rate Prediction

What are Large Language Models (LLMs)? Applications and Types of LLMs

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2

Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

Deep Learning Approaches to Sentiment Analysis (with spaCy!)

Intelligent video and audio Q&A with multilingual support using LLMs on Amazon SageMaker

Machine learning with decentralized training data using federated learning on Amazon SageMaker

MLOps Landscape in 2023: Top Tools and Platforms

Google introduces AdaTape, Salesforce introduces LAM(Large Action Model)s

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

Beyond OpenAI in Commercial LLM Landscape

The most important AI trends in 2024

Reducing the cost of LLMs with quantization and efficient fine-tuning: how can businesses benefit from Generative AI with limited hardware?

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