AWS Machine Learning Blog

NOVEMBER 12, 2024

In entered the Big Data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies. Varun Mehta is a Sr.

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AWS Machine Learning Blog

FEBRUARY 5, 2025

There is consistent customer feedback that AI assistants are the most useful when users can interface with them within the productivity tools they already use on a daily basis, to avoid switching applications and context. Web applications like Amazon Q Business and Slack have become essential environments for modern AI assistant deployment.

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AWS Machine Learning Blog

JUNE 13, 2023

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. In this post, we discuss the different stacks of a generative AI workload and what those considerations should be.

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AWS Machine Learning Blog

FEBRUARY 26, 2025

Pattern was founded in 2013 and has expanded to over 1,700 team members in 22 global locations, addressing the growing need for specialized ecommerce expertise. Pattern has implemented batching techniques in their AI model calls, resulting in up to 50% cost reduction for two-batch processing while maintaining high throughput.

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phData

MAY 17, 2024

The brand-new Forecasting tool created on Snowflake Data Cloud Cortex ML allows you to do just that. What is Cortex ML, and Why Does it Matter? Cortex ML is Snowflake’s newest feature, added to enhance the ease of use and low-code functionality of your business’s machine learning needs.

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AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, enabling to easily build and scale Gen AI applications. What percentage of customers are from each region?”

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ODSC - Open Data Science

MAY 30, 2023

Be sure to check out his talk, “ ML Applications in Asset Allocation and Portfolio Management ,” there! The year 2022 presented two significant turnarounds for tech: the first one is the immediate public visibility of generative AI due to ChatGPT. Editor’s note: Peter Schwendner, PhD is a speaker for ODSC Europe this June.

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AWS Machine Learning Blog

MARCH 10, 2025

The intersection of AI and financial analysis presents a compelling opportunity to transform how investment professionals access and use credit intelligence, leading to more efficient decision-making processes and better risk management outcomes. It became apparent that a cost-effective solution for our generative AI needs was required.

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AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. In the following sections, we discuss the stages of the process in detail.

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ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. These organizations are shaping the future of the AI and data science industries with their innovative products and services. SAS One of the most experienced AI leaders, SAS delivers AI solutions to enhance human ingenuity.

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AWS Machine Learning Blog

MARCH 15, 2024

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. With increased access to data, ML has the potential to provide unparalleled business insights and opportunities.

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Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs). Using AI, AutoLink automatically identified and suggested potential matches.

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AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

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ODSC - Open Data Science

MAY 25, 2023

Build tuned auto-ML pipelines, with common interface to well-known libraries (scikit-learn, statsmodels, tsfresh, PyOD, fbprophet, and more!) sktime, the unified package for time series ML sktime supports many time series related learning tasks and objects! Classification? Annotation? Something else?

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Flipboard

JULY 19, 2023

In entered the Big Data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

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Mlearning.ai

JUNE 16, 2023

The current practice of building AI applications in the Medical Imaging space often sticks to a suboptimal approach. AI practitioners obtained impressive results for classification datasets², object detection tasks⁹, image captioning⁵, semantic segmentation¹, and many others. The most common transfer learning recipe is suboptimal.

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Dataconomy

MARCH 12, 2024

But its success is barely related to the expertise in cutting edge tech like AI, AR, or VR. ComCash, a well-known US-based B2B product company, started to work with MobiDev in 2013 to create a comprehensive ERP system tailored for the retail and restaurant sectors.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Because embeddings are an important source of data for NLP models in general and generative AI solutions in particular, we need a way to measure whether our embeddings are changing over time (drifting).

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Pickl AI

FEBRUARY 23, 2025

Machine Learning Integration : Built-in ML capabilities streamline model development and deployment. Statistics: Tableau has been recognized as a leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms since 2013. Key Features : Collaborative Workspace : Allows teams to work together on notebooks.

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Mlearning.ai

AUGUST 4, 2023

In this blog, we will try to deep dive into the concept of 1x1 convolution operation which appeared in the paper ‘Network in Network’ by Lin et al in (2013) and ‘Going Deeper with Convolutions’ by Szegedy et al (2014) that proposed the GoogLeNet architecture. References: [link] [link] [link] WRITER at MLearning.ai // Control AI Video ?

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Mlearning.ai

AUGUST 6, 2023

As described in the previous article , we want to forecast the energy consumption from August of 2013 to March of 2014 by training on data from November of 2011 to July of 2013. WRITER at MLearning.ai // Control AI Video ? imagine AI 3D Models Mlearning.ai

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ML Review

FEBRUARY 26, 2018

The most significant innovation in AI these recent years, smart chatbots, personal assistants, are only a glimpse of what the future holds. Fortunately, the urgency of development in AI has been met with equal enthusiasm from various stakeholders, from private enterprises to governments, and from academic circles to industrial communities.

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Heartbeat

DECEMBER 8, 2023

A Guide to Enhancing AI with Strategic Decision-Making and Tool Integration Photo by julien Tromeur on Unsplash Agents in LangChain Agents in LangChain are systems that use a language model to interact with other tools. Question: {input} Thought:{agent_scratchpad} query = """ Who is the current Chief AI Scientist at Meta AI?

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Heartbeat

DECEMBER 14, 2023

Empowering Conversational AI with Contextual Recall Photo by Fredy Jacob on Unsplash Memory in Agents Memory in Agents is an important feature that allows them to retain information from previous interactions and use it to provide more accurate and context-aware responses. > Finished chain.

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Heartbeat

DECEMBER 27, 2023

However, the emergence of the open-source Docker engine by Solomon Hykes in 2013 accelerated the adoption of the technology. The machine learning (ML) lifecycle defines steps to derive values to meet business objectives using ML and artificial intelligence (AI). What is Docker? Why Use Docker for Machine Learning?

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ML Review

MAY 3, 2018

This topic, when broached, has historically been a source of contention among linguists, neuroscientists and AI researchers. This partial disintegration of some research silos, or the encouragement of greater interdisciplinary work using AI-tools and techniques, follows on from our remarks about the combinatorial nature of knowledge.

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Mlearning.ai

JULY 31, 2023

WRITER at MLearning.ai // Control AI Video // Personal AI Art Model Mlearning.ai Dosovitskiy, A., Kolesnikov, A., Weissenborn, D., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Uszkoreit, J., and Houlsby, N., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. Available from: [link]. Mikolov, T.,

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Mlearning.ai

JUNE 21, 2023

FER, Facial Expression Recognition, is an open-source dataset released in 2013. BECOME a WRITER at MLearning.ai // FREE ML Tools // Clearview AI Mlearning.ai Let’s take a moment to break down the project architecture shown above before we dive into the code. What is the FER dataset?

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ML Review

JUNE 4, 2018

However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance. In the past we’ve noted the huge effect of new datasets on research fields in AI. Largely due to the limits of heuristics or approximations for word-object relationships[ 52 ][ 53 ][ 54 ]. In: Daniilidis K.,

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Pickl AI

MARCH 7, 2025

It includes AI, Deep Learning, Machine Learning and more. High Demand for Data Scientists: Data Science roles have grown over 250% since 2013, with salaries reaching $153k/year. AI and Machine Learning Integration: AI-driven Data Science powers industries like healthcare, e-commerce, and entertainment34.

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O'Reilly Media

APRIL 23, 2024

But in 2013 and 2014, it remained stuck at 83% , and while in the ten years since, it has reached 95% , it had become clear that the easy money that came from acquiring more users was ending. Google, for example, invented the Large Language model architecture that underlies today’s disruptive AI startups. The market was maturing.

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ML Review

MARCH 5, 2019

At MTank, we work towards two goals: (1) Model and distil knowledge within AI. (2) We built a web-app at ai-distillery.io Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space.

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DrivenData Labs

DECEMBER 7, 2023

The four solutions that won overall prizes each used different approaches and tools, including ChatGPT, Text2Text Generation, FAISS (Facebook AI Similarity Search), and DBSCAN clustering. However, it wasn't the use of sophisticated tools alone that made for strong submissions. Outside of work, I enjoy traveling and comedy shows.

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