Data Science Dojo

NOVEMBER 3, 2023

This blog lists several YouTube channels that can help you get started with llms, generative AI, prompt engineering, and more. Large language models, like GPT-3.5, have revolutionized the field of natural language processing. Want to build your own ChatGPT? Want to fine-tune your LLM application?

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Data Science Dojo

APRIL 18, 2024

Language is the basis for human interaction and communication. Speaking and listening are the direct by-products of human reliance on language. While humans can use language to understand each other, in today’s digital world, they must also interact with machines. Let’s understand large language models further.

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Data Science Dojo

OCTOBER 25, 2023

In this blog, we will be getting started with the Llama 2 open-source large language model. We will guide you through various methods of accessing it, ensuring that by the end, you will be well-equipped to unlock the power of this remarkable language model for your projects.

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Data Science Dojo

AUGUST 28, 2023

Large Language Model Ops also known as LLMOps isn’t just a buzzword; it’s the cornerstone of unleashing LLM potential. From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation. To acquire insights into building your own LLM, refer to our resources.

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Data Science Dojo

MARCH 1, 2024

LLMs have become indispensable in various industries for tasks such as generating human-like text, translating languages, and providing answers to questions. In contrast, LangChain focuses on the latter stages, particularly on facilitating interactions between the AI (large language models, or LLMs) and users through multi-agent systems.

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Data Science Dojo

APRIL 16, 2024

In this blog, we will explore the top 10 AI jobs and careers that are also the highest-paying opportunities for individuals in 2024. They are responsible for building intelligent machines that transform our world. They consistently rank among the highest-paid AI professionals.

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Data Science Dojo

MARCH 29, 2024

Large Language Models are growing smarter, transforming how we interact with technology. This allows the model to access real-time information and address knowledge gaps. Handling Unstructured Data: Dealing with unstructured data, such as free-flowing text or natural language, can be difficult. Let’s dig in!

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Towards AI

MAY 6, 2024

Since Meta released the latest open-source Large Language Model (LLM), Llama3, various development tools and frameworks have been actively integrating Llama3. Today, we’ll explore how to use Llama3 to build a team-exclusive private Copilot, enhancing team productivity while safeguarding code privacy.

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Towards AI

MARCH 4, 2024

[link] Recently, Mistral launched a new large model named Mistral Large. This model is ranked second globally, only behind the well-known GPT-4, and now you can easily access it via API. How does the Mistral Large model stand out in its features? How does Mistral Large compare to GPT-4?

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Towards AI

FEBRUARY 18, 2024

Today, let’s explore Xinference, a deployment and inference tool for Large Language Models (LLMs), characterized by its quick deployment, ease of use, efficient inference, support for various open-source models, and provision of both a WebGUI interface and API endpoints for convenient model deployment and inference.

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Towards AI

AUGUST 19, 2023

Serve your large language models just like you would using OpenAI API but at no cost This member-only story is on us. Photo by Austrian National Library on Unsplash There has been a lot of enthusiasm in the last couple of months around using Large Language Models. Upgrade to access all of Medium.

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Flipboard

SEPTEMBER 19, 2023

LinkedIn Photos) A pair of Amazon alum is raising cash for a new startup that helps enterprises build and deploy secure artificial intelligence applications, preventing company data from slipping through the cracks. ” Engineers building large language model apps can also use LangChain.

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Dataconomy

FEBRUARY 21, 2024

Groq AI prides itself on delivering “ the world’s fastest large language models, ” a claim that is gaining credibility through positive third-party evaluations. This level of performance not only demonstrates Groq AI’s impressive speed but also its precision and depth in generating AI content.

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Towards AI

DECEMBER 28, 2023

Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

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AWS Machine Learning Blog

APRIL 8, 2024

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

AWS and NVIDIA have collaborated for over 13 years and have pioneered large-scale, highly performant, and cost-effective GPU-based solutions for developers and enterprise across the spectrum. All three instances will be available in 2024, and we look forward to seeing what you can do with them. times larger and 1.4 times larger and 1.4

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Towards AI

APRIL 4, 2024

Interest in previously obscure terms like Generative AI and Large Language Models (LLMs), was unstoppable over the following 15 months. A Chronology of Large Language Models — Image Source : Charly Wargnie OpenAI has been at the forefront of developing Large Language Models and making them accessible to the developer community.

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AWS Machine Learning Blog

APRIL 18, 2024

We are excited to announce that Slack, a Salesforce company, has collaborated with Amazon SageMaker JumpStart to power Slack AI’s initial search and summarization features and provide safeguards for Slack to use large language models (LLMs) more securely. None of your data is used to train the underlying models.

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IBM Journey to AI blog

APRIL 9, 2024

New features in 2024 include Hole Insights, stats and projections about every shot, from every player on every hole; and expanded AI-generated narration (including Spanish language) on more than 20,000 highlight clips. Lastly, watsonx.data pulls from live feeds. ” Watsonx.data lets organizations optimize workloads for different uses.

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AWS Machine Learning Blog

FEBRUARY 21, 2023

We’re thrilled to announce an expanded collaboration between AWS and Hugging Face to accelerate the training, fine-tuning, and deployment of large language and vision models used to create generative AI applications. AWS has a deep history of innovation in generative AI.

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Snorkel AI

JUNE 12, 2023

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1.

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Snorkel AI

JUNE 12, 2023

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1.

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AWS Machine Learning Blog

DECEMBER 12, 2023

This post shows you how you can create a web UI, which we call Chat Studio, to start a conversation and interact with foundation models available in Amazon SageMaker JumpStart such as Llama 2, Stable Diffusion, and other models available on Amazon SageMaker.

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AWS Machine Learning Blog

MAY 2, 2024

In this post, we summarize the new enhancements, and guide you through the process of training a model and providing recommendations for your users. Benefits of new recipes The new recipes offer enhancements in scalability, latency, model performance, and functionality. compared to previous versions.

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Towards AI

DECEMBER 29, 2023

One of the drawbacks of these models is the necessity to perform a remote call to an API. I would use an LLM model, also with lower performance, but in your local machine. GPT4All is an open-source software ecosystem created by Nomic AI that allows anyone to train and deploy large language models (LLMs) on everyday hardware.

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Towards AI

JUNE 21, 2023

We are launching the Foundational Model Certification course, an educational journey for the next generation of AI professionals and enthusiasts. Spanning over 50 lessons and 10 practical projects, the course offers a comprehensive exploration of Large Language Models (LLMs), leveraging the capabilities of LangChain and Deep Lake.

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AWS Machine Learning Blog

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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Becoming Human

MAY 16, 2023

Generative Pre-trained Transformer 4 (GPT-4) is the latest iteration of the groundbreaking GPT series of language models developed by OpenAI. In addition, the transformer architecture enables the model to analyze and develop text in parallel rather than sequentially, improving efficiency and scalability.

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AWS Machine Learning Blog

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee.

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Towards AI

AUGUST 7, 2023

In recent years, Large Language Models (LLMs) have revolutionized various industries, from natural language processing to creative writing and customer service. These powerful AI models, such as GPT-3.5, The following list is not comprehensive, but it… Read the full blog for free on Medium.

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AWS Machine Learning Blog

JANUARY 9, 2024

Foundation models (FMs) are often pre-trained on vast corpora of data with parameters ranging in scale of millions to billions and beyond. Large language models (LLMs) are a type of FM that generate text as a response of the user inference. Llama 2 models are autoregressive models with decoder only architecture.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Today, we’re excited to announce that the OpenAI Whisper foundation model is available for customers using Amazon SageMaker JumpStart. Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. The OpenAI Whisper model uses the huggingface-pytorch-inference container.

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AWS Machine Learning Blog

FEBRUARY 16, 2024

Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. In this post, we walk through how to discover and deploy the Code Llama model via SageMaker JumpStart.

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Towards AI

JANUARY 30, 2024

The 12 groups are as follows — Types of Models Common LLM Terms LLM Lifecycle Stages LLM Evaluations LLM Architecture Retrieval Augmented Generation (RAG) LLM Agents LMM Architecture Cost & Efficiency LLM Security Deployment & Inference A list of providers supporting LLMOps Like the generative AI space, this taxonomy is also evolving.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). With the advent of these LLMs or FMs, customers can simply build Generative AI based applications for advertising, knowledge management, and customer support.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

With this integration, SageMaker Canvas provides customers with an end-to-end no-code workspace to prepare data, build and use ML and foundations models to accelerate time from data to business insights. In this post, we walk you through the process to prepare data for end-to-end model building in SageMaker Canvas.

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AWS Machine Learning Blog

MARCH 22, 2024

The AI Content Generator powered by Amazon Bedrock is an app available on the Contentful Marketplace that allows users to create, rewrite, summarize, and translate content using cutting-edge generative artificial intelligence (AI) models available and accessible through Amazon Bedrock in a simple and secure manner.

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