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. LLMOps MLOps for Large Language Model What are the components of LLMOps? What is LLMOps?

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IBM Data Science in Practice

MARCH 8, 2023

DeepMind launched AlphaFold , which can accurately predict 3D models of protein structures, accelerating research in nearly every field of biology. According to a McKinsey study , an estimated 88% of machine learning models are never taken into production. The United States published a Blueprint for the AI Bill of Rights.

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Data Science Dojo

SEPTEMBER 28, 2023

LlamaIndex is an orchestration framework for large language model (LLM) applications. For example, you could ask “What are the top 10 revenue-generating products?” Setting OpenAI API key  To access OpenAI’s language models effectively, it is imperative to configure our API key.

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AWS Machine Learning Blog

DECEMBER 19, 2023

However, putting an ML model into production at scale is challenging and requires a set of best practices. Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge.

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IBM Journey to AI blog

NOVEMBER 6, 2023

As such, enterprises that serve SMBs must provide solutions that lessen administrative burdens and deliver tangible value. However, this isolated qualitative customer information is not enough to serve a client’s needs. With usage-based pricing of products, SMBs pay for only what they use.

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Towards AI

APRIL 1, 2024

Image by author (Ideogram) In the realm of data science projects, the excitement lies in the “Intelligent” aspect, where deep learning models successfully make remarkably accurate predictions. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

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Towards AI

MAY 13, 2024

However, behind the scenes, it’s the AI infrastructure that serves as the engine driving the market’s large GenAI models. So, in this blog post, let’s take a look at what exactly an AI supercomputer is and how it trains large AI models such as GPT3, GPT4, and even the latest GPT-4o, that power ChatGPT and BingChat.

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Snorkel AI

APRIL 11, 2024

Today, I’m incredibly excited to announce our new offering, Snorkel Custom, to help enterprises cross the chasm from flashy chatbot demos to real production AI value. Enterprises are under mounting pressure to show value from AI investments, but are realizing that off-the-shelf LLMs are rarely enough to meet production requirements.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has been using Amazon SageMaker to cultivate their data using ML and has had models in production for many years. Lately, the level of sophistication and the sheer number of models in production is increasing exponentially. Apply the trained model to make predictions of future events.

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IBM Data Science in Practice

DECEMBER 7, 2022

This article will take you through the steps to start serving Watson NLP models using standalone containers. The idea is to build a container image that includes both the models to be served, as well as the runtime that serves the models. The Runtime image itself does not contain any models.

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AWS Machine Learning Blog

MAY 16, 2024

LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. For this reason, we built the MLOps architecture to manage the created models and provide real-time services.

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Flipboard

SEPTEMBER 13, 2023

But other than ChatGPT, how are consumers interacting with generative AI (GenAI) products? To begin to answer these questions, we looked at SimilarWeb traffic data (as of June 2023) to rank the top 50 GenAI web products by monthly visits. We also analyzed how these products have grown over time, and where growth is coming from.

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AWS Machine Learning Blog

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. A multimodal embeddings model is designed to learn joint representations of different modalities like text, images, and audio.

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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. Published via Towards AI

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Towards AI

FEBRUARY 20, 2024

We don’t know much about these models but there is evidence that they perform better than Mistral 7B, Mixtral-8x7B, and Llama 2 models. The Qwen team also collaborates with the authors of popular packages for quantization, fine-tuning, and serving LLMs. models and comment on their performance. Consequently, Qwen1.5

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AWS Machine Learning Blog

APRIL 18, 2024

This post is co-authored by Jackie Rocca, VP of Product, AI at Slack Slack is where work happens. With the newly launched Slack AI —a trusted, native, generative artificial intelligence (AI) experience available directly in Slack—users can surface and prioritize information so they can find their focus and do their most productive work.

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Dataconomy

MAY 29, 2023

This decoded information can be instantly displayed on the scanning device, directing users to websites, displaying detailed product information, providing contact details, or executing other actions based on the encoded data. Moreover, QR codes serve as a mechanism for data collection and analysis.

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Dataconomy

OCTOBER 19, 2023

These facilities feature advanced hardware, optimized software, and robust data processing capabilities, making them ideal for training and enhancing AI models. These factories will serve as advanced data centers to support various AI-related applications. government.

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Towards AI

FEBRUARY 20, 2024

Image by Author via Dall-E Welcome to the third article of this LLM Series, where we’re stoking the flames of innovation with OpenAI models U+1F525U+1F525. In this edition, we’ll be exploring multiple-function calling, a technique designed to supercharge the efficiency and capabilities of Language Learning Models.

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Snorkel AI

APRIL 11, 2024

Today, I’m incredibly excited to announce our new offering, Snorkel Custom, to help enterprises cross the chasm from flashy chatbot demos to real production AI value. Enterprises are under mounting pressure to show value from AI investments, but are realizing that off-the-shelf LLMs are rarely enough to meet production requirements.

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Towards AI

MARCH 28, 2024

This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings. It offers free API service to access AI models like Gemma, GPT-4, GPT-4–1106-PREVIEW, GPT-3.5-turbo,

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Flipboard

SEPTEMBER 19, 2023

Its tools give companies a way to safely build large language models, including conversational, copilot, and autonomous agents. The idea is to provide enterprises with security controls, allowing them to use AI models without compromising data security. ” Engineers building large language model apps can also use LangChain.

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Towards AI

AUGUST 16, 2023

When implementing probabilistic models, the results may look good depending on some initial conditions or a random factor. Therefore, the key is to design each component so that most of the work can stay and serve as a foundation for the next stage of development. No bugs are found. No exception is raised.

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AssemblyAI

MAY 4, 2023

Thankfully, significant strides in AI research–like the research behind Stable Diffusion, modern Large Language Models, and Poisson Flow Generative Models–have now made AI a formidable co-pilot to help companies ask the right questions, make sense of patterns, and build better products.

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AssemblyAI

DECEMBER 3, 2023

This brings AssemblyAI’s total funds raised to $115M — 90% of which we’ve raised in the last 22 months, as organizations across virtually every industry have raced to embed Speech AI capabilities into their products, systems, and workflows. Take our latest Conformer-2 model, for example.

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Dataconomy

DECEMBER 5, 2023

Runway ML, a leading AI video creation platform, has joined forces with Getty Images, the world’s premier visual content provider, to develop innovative AI video models tailored for the entertainment and advertising industries.

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Dataconomy

JANUARY 22, 2024

Perplexity AI, a rising star in the AI domain, utilizes a blend of its proprietary AI model and third-party models, including Google’s Gemini, Mistra 7B, Anthropic’s Claude 2.1, and OpenAI’s GPT-4. How to buy Rabbit R1 Crafted by Teenage Engineering, the Rabbit R1 boasts a sophisticated design that includes a 2.88-inch

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Heartbeat

JULY 31, 2023

However, training and deploying large-scale machine learning models can be a complex and time-consuming process. Comet’s machine learning platform integrates with your existing infrastructure and tools so you can manage, visualize, and optimize models from training runs to production monitoring. This is where Comet comes in.

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Dataconomy

JANUARY 8, 2024

It spotlights products that stand out in their design, functionality, consumer appeal, and technological advancement. In this program, products are evaluated across a diverse range of consumer technology categories, showcasing the latest and most innovative achievements in the sector.

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Mlearning.ai

FEBRUARY 25, 2023

In this part, I will tell you the other components of MLflow including models, model registry, and project. from the MLflow official website) The model format is called “flavors” that can be understood by different downstream tools. This function will log a trained model in the currently active run.

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IBM Journey to AI blog

APRIL 8, 2024

In a world where every company is now a technology company, all enterprises must become well-versed in managing their digital products to remain competitive. In other words, they need a robust digital product lifecycle management (PLM) strategy. The new company’s data model is completely different from the original company.

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AWS Machine Learning Blog

MAY 9, 2024

According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. At Amazon, we believe innovation (rethink and reinvent) drives improved customer experiences and efficient processes, leading to increased productivity.

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Iguazio

JULY 31, 2023

MLOps accelerates the ML model deployment process to make it more efficient and scalable. MLOps (Machine Learning Operations) is the set of practices and techniques used to efficiently and automatically develop, test, deploy, and maintain ML models and applications and data in production. You’ve come to the right place.

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AWS Machine Learning Blog

MAY 2, 2024

With the recipes —algorithms for specific uses cases—provided by Amazon Personalize, you can deliver a wide array of personalization, including product or content recommendations and personalized ranking. Benefits of new recipes The new recipes offer enhancements in scalability, latency, model performance, and functionality.

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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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IBM Journey to AI blog

JANUARY 3, 2024

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations. And institutional innovation can play a role to help.

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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. the generated content) should most likely land.

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