Build a Data Science App with Python in 10 Easy Steps
NOVEMBER 25, 2024
Learn how to build a data science app with Python, using Scikit-Learn and FastAPI, one step at a time.
Sat.Nov 23, 2024 - Fri.Nov 29, 2024
162 
Understanding Autoencoders in Deep Learning
Pickl AI
NOVEMBER 24, 2024
Summary: Autoencoders are powerful neural networks used for deep learning. They compress input data into lower-dimensional representations while preserving essential features. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. Autoencoders enhance performance in downstream tasks and provide robustness against overfitting, making them versatile tools in Machine Learning.
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What Nobody Tells You About Deploying GenAI
Precisely
NOVEMBER 25, 2024
Large Language Models (LLMs) became popular after the release of ChatGPT two years ago. The idea of chatting with an AI through a browser significantly reduced the technical barriers, making LLMs the fastest-growing platform globally. Since then, ChatGPT-like applications have surged in popularity, driven by their ease of use and groundbreaking innovations.
Connect SharePoint Online to Amazon Q Business using OAuth 2.0 ROPC flow authentication
AWS Machine Learning Blog
NOVEMBER 25, 2024
Enterprises face significant challenges accessing and utilizing the vast amounts of information scattered across organization’s various systems. What if you could simply ask a question and get instant, accurate answers from your company’s entire knowledge base, while accounting for an individual user’s data access levels? Amazon Q Business is a game changing AI assistant that’s revolutionizing how enterprises interact with their data.
What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Time-series forecasting through recurrent topology
Hacker News
NOVEMBER 23, 2024
Time-series forecasting is a practical goal in many areas of science and engineering. Common approaches for forecasting future events often rely on highly parameterized or black-box models. However, these are associated with a variety of drawbacks including critical model assumptions, uncertainties in their estimated input hyperparameters, and computational cost.
Voice content moderation with AI: Everything you need to know
AssemblyAI
NOVEMBER 24, 2024
Voice content is booming, but it's getting messier by the day. From toxic gaming chat rooms to harassing customer service calls, platforms are drowning in potentially harmful voice interactions that need monitoring. Social gaming platforms alone process millions of hours of voice chat daily, while contact centers handle countless customer conversations.
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GenAI in corporate finance: Redefining data-driven insights
Dataconomy
NOVEMBER 25, 2024
In today’s rapidly evolving business landscape, where data is abundant but insight can be elusive, elite consulting firms are leveraging the power of generative AI (GenAI) to transform corporate finance. At the forefront of this transformation is Kirill Iaroshenko, a senior management consultant at a global consulting powerhouse, specializing in financial technology and digital transformations.
John Snow Labs Medical LLMs are now available in Amazon SageMaker JumpStart
AWS Machine Learning Blog
NOVEMBER 25, 2024
Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM is optimized for the following medical language understanding tasks: Summarizing clinical encounters – Summarizing discharge notes, progress notes, radiology reports, pathology reports, and various other medical reports Question answering on clinical notes or biomedical research – Answering questions about a
How to transcribe Zoom participant recordings (multichannel)
AssemblyAI
NOVEMBER 25, 2024
Zoom allows you to record each meeting participant's audio separately, both locally and with cloud recordings despite the latter being a relatively unadvertised feature. This is extremely useful for people who want to build with Speech AI on top of Zoom recordings. For example, since each participant is recorded on a different audio track, it is extremely easy to identify who said what in the recording.
Top 7 Data Science, Large Language Model, and AI Blogs of 2024
Data Science Dojo
NOVEMBER 27, 2024
The fields of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. To keep up with these rapid developments, it’s crucial to stay informed through reliable and insightful sources. In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.
Agent Tooling: Connecting AI to Your Tools, Systems & Data
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Embrace Innovation While Reducing Risk: The Three Steps to AI-grade Data at Scale
insideBIGDATA
NOVEMBER 26, 2024
In this contributed article, Kunju Kashalikar, Senior Director of Product Management at Pentaho, discusses how to dream big without the risk: three steps to AI-grade data. The industry adage of ‘garbage-in-garbage-out' has never been more applicable than now. Clean, accurate data is the key to winning the AI race - but leaving the starting blocks is the challenge for most.
How to Choose Best ML Model for your Usecase?
Analytics Vidhya
NOVEMBER 26, 2024
Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. Whether you’re working on a classification task, predicting trends, or building a recommendation […] The post How to Choose Best ML Model for your Usecase?
China and UK trail as U.S. reigns supreme in AI development
Dataconomy
NOVEMBER 25, 2024
The United States remains the world leader in artificial intelligence innovation, according to a newly released Stanford University index. The Stanford Institute for Human-Centered AI’s Global Vibrancy Tool 2024 assesses AI development across 36 countries, ranking the U.S. first, followed by China and the United Kingdom. The index measures various indicators of AI activity, including research output, private investment, and patenting efforts.
Which IDEs do software engineers love, and why?
NOVEMBER 26, 2024
It’s been nearly 6 months since our research into which AI tools software engineers use, in the mini-series, AI tooling for software engineers: reality check. At the time, the most popular tools were ChatGPT for LLMs, and GitHub copilot for IDE-integrated tooling. Then this summer, I saw the Cursor IDE becoming popular around when Anthropic’s Sonnet 3.5 model was released, which has superior code generation compared to ChatGPT.
How to Modernize Manufacturing Without Losing Control
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Small Language Models Set for High Market Impact in 2025
insideBIGDATA
NOVEMBER 29, 2024
Energy efficient, cost-effective and more secure models are set to rival ‘one-size-fits-all’ counterparts. By Isabel Al-Dhahir, Principal Analyst at GlobalData As the initial hype surrounding generative AI (GenAI) continues to mellow, the market impact of small language models (SLMs) is set to soar.
2024 for OpenAI: Highs, Lows, and Everything in Between
Analytics Vidhya
NOVEMBER 29, 2024
The year 2024 was nothing short of a rollercoaster for OpenAI, a company that has become synonymous with the cutting edge of artificial intelligence. From groundbreaking product launches to leadership shake-ups and even legal disputes, OpenAI navigated a whirlwind of events. These happenings showcased both the promise and the challenges of building advanced AI systems […] The post 2024 for OpenAI: Highs, Lows, and Everything in Between appeared first on Analytics Vidhya.
Advances in AI Avatars and why Teeth and Beards are Still Challenging
Dataconomy
NOVEMBER 27, 2024
AI avatars, or “talking heads,” have marked a new step in the way we approach and comprehend digital engagement. Not that long ago, turning a single photo and audio clip into a realistic, speaking likeness seemed impossible—the best we could get was an ‘uncanny valley’ result, certainly unsuitable for any external use. Now, the situation is much different.
Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud
NOVEMBER 27, 2024
While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics.
Automation, Evolved: Your New Playbook for Smarter Knowledge Work
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Research Insights: The Complex Role of AI Disclosure in Building Trust
insideBIGDATA
NOVEMBER 28, 2024
Big Valley Marketing - just put out a report on AI disclosure that is very compelling. Since ChatGPT’s release, the debate around AI’s impact on productivity, job security, and creativity has only grown. Research now shows that nearly 80% of people distrust AI, which complicates the call for transparency in AI-driven content creation—disclosure could actually reduce credibility rather than build it.
Exploring GraphRAG from Theory to Implementation
Analytics Vidhya
NOVEMBER 25, 2024
GraphRAG adopts a more structured and hierarchical method to Retrieval Augmented Generation (RAG), distinguishing itself from traditional RAG approaches that rely on basic semantic searches of unorganized text snippets. The process begins by converting raw text into a knowledge graph, organizing the data into a community structure, and summarizing these groupings.
Salesforce CEO says LLM capabilities are nearing their limit
Dataconomy
NOVEMBER 25, 2024
Marc Benioff, CEO of Salesforce, stated that the future of artificial intelligence (AI) focuses on autonomous agents instead of large language models (LLMs), claiming that the latter have reached their “upper limits.” In a recent episode of The Wall Street Journal ‘s “ Future of Everything ” podcast on November 23, Benioff argued that society has become overly reliant on tools like ChatGPT, leading to inflated expectations regarding AI’s capabilities.
Improve the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock
AWS Machine Learning Blog
NOVEMBER 29, 2024
Prompt engineering refers to the practice of writing instructions to get the desired responses from foundation models (FMs). You might have to spend months experimenting and iterating on your prompts, following the best practices for each model, to achieve your desired output. Furthermore, these prompts are specific to a model and task, and performance isn’t guaranteed when they are used with a different FM.
The 2nd Generation of Innovation Management: A Survival Guide
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
LogicMonitor Seeks to Disrupt AI Landscape with an $800 Million Strategic Investment at a Valuation of Approximately $2.4 Billion to Revolutionize Data Centers
insideBIGDATA
NOVEMBER 23, 2024
LogicMonitor, a leading SaaS-based hybrid observability platform powered by artificial intelligence (AI), announced a transformative $800 million investment of new equity and strategic financing from a consortium of investors including PSG, Golub Capital and others.
I Tried AISuite by AndrewNg, and It is GREAT!
Analytics Vidhya
NOVEMBER 26, 2024
Andrew Ng recently released AISuite, an open-source Python package designed to streamline the use of large language models (LLMs) across multiple providers. This innovative tool simplifies the complexities of working with diverse LLMs by allowing seamless switching between models with a simple “provider:model” string. By significantly reducing integration overhead, AISuite enhances flexibility and accelerates application […] The post I Tried AISuite by AndrewNg, and It is GREAT
Search enterprise data assets using LLMs backed by knowledge graphs
NOVEMBER 27, 2024
Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. Search solutions in modern big data management must facilitate efficient and accurate search of enterprise data assets that can adapt to the arrival of new assets.
Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock
AWS Machine Learning Blog
NOVEMBER 26, 2024
In the field of generative AI , latency and cost pose significant challenges. The commonly used large language models (LLMs) often process text sequentially, predicting one token at a time in an autoregressive manner. This approach can introduce delays, resulting in less-than-ideal user experiences. Additionally, the growing demand for AI-powered applications has led to a high volume of calls to these LLMs, potentially exceeding budget constraints and creating financial pressures for organizatio
How to Achieve High-Accuracy Results When Using LLMs
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
The future of smart homes: From control to prediction
Dataconomy
NOVEMBER 27, 2024
Modern technologies provide many opportunities for a better life. Smart houses, which until recently seemed like a fantasy, are now actively entering people’s lives. This area of innovation is developing rapidly, and the primary trend is the transition from simple control of devices to comprehensive prediction of the needs of residents. Tools like home automation design software play a crucial role in shaping these advancements, enabling efficient planning and integrating smart home syst
Skimpy: Alternative to Pandas describe() for Data Summarization
Analytics Vidhya
NOVEMBER 26, 2024
Data summarization is an essential first step in any data analysis workflow. While Pandas’ describe() function has been a go-to tool for many, its functionality is limited to numeric data and provides only basic statistics. Enter Skimpy, a Python library designed to offer detailed, visually appealing, and comprehensive data summaries for all column types.
5 Unconventional Sources of Data for Your Next Project
KDnuggets
NOVEMBER 28, 2024
When working on a project, think beyond traditional data sources. Explore unconventional options like social media and user-generated content for fresh insights.
Efficiently train models with large sequence lengths using Amazon SageMaker model parallel
AWS Machine Learning Blog
NOVEMBER 27, 2024
Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as Llama, Stable Diffusion, and Mistral. Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length.
Apache Airflow® Best Practices: DAG Writing
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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