Beginner’s Guide to Building LLM Apps with Python
KDnuggets
JUNE 6, 2024
In this article, you will be impacted by the knowledge you need to start building LLM apps with Python programming language.
Thu.Jun 06, 2024
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How to Finetune Llama 3 for Sequence Classification?
Analytics Vidhya
JUNE 6, 2024
Introduction Large Language Models are known for their text-generation capabilities. They are trained with millions of tokens during the pre-training period. This will help the large language models understand English text and generate meaningful full tokens during the generation period. One of the other common tasks in Natural Language Processing is the Sequence Classification Task. […] The post How to Finetune Llama 3 for Sequence Classification?
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10 Essential DevOps Tools Every Beginner Should Learn
KDnuggets
JUNE 6, 2024
Popular tools for versioning, CI/CD, testing, automation, containerization, workflow orchestration, cloud, IT management, and monitoring.
How PepsiCo established an enterprise-grade data intelligence platform powered by Databricks Unity Catalog
databricks
JUNE 6, 2024
This blog is authored by Bhaskar Palit , Senior Director, Data & Analytics, PepsiCo, and Sudipta Das , Data Architect Senior Manager, PepsiCo.
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.
Palindrome Number in Python
Analytics Vidhya
JUNE 6, 2024
Introduction Palindrome numbers those numbers that are same both as forward and backward. Because of this unique fact, it is an intriguing subject in mathematics. Their distinct qualities have captivated mathematicians, programmers, and educators alike. This article examines several approaches to Python palindrome number checking, from basic text manipulation to more complex recursive algorithms.
5 Useful Loss Functions
Machine Learning Mastery
JUNE 6, 2024
A loss function in machine learning is a mathematical formula that calculates the difference between the predicted output and the actual output of the model. The loss function is then used to slightly change the model weights and then check whether it has improved the model’s performance. The goal of machine learning algorithms is to […] The post 5 Useful Loss Functions appeared first on MachineLearningMastery.com.
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Azure Databricks at Databricks Data + AI Summit 2024 featuring Industry Leaders and Pioneers
databricks
JUNE 6, 2024
This is a collaborative post from Databricks and Microsoft. We thank Mohini Verma , Senior Product Marketing Manager, for her contributions. Data +.
Armstrong Number In Python
Analytics Vidhya
JUNE 6, 2024
Introduction Welcome to our comprehensive guide on Armstrong numbers! Here, we explore the intriguing concept of Armstrong numbers. We begin by defining Armstrong numbers and their unique properties through examples. You will learn how to check if a number is an Armstrong number using Python. We will also discover various methods like iterative, recursive, and […] The post Armstrong Number In Python appeared first on Analytics Vidhya.
In the Era of Cloud and AI, Hard Drives are More Critical than Ever Before
insideBIGDATA
JUNE 6, 2024
In this contributed article, Jason Feist, Seagate's Senior Vice President of Products and Markets, believes that amidst the data center boom and growth of AI, data storage is more important than ever, and it's high time we revisit the HDD vs. SSD debate.
Analytics Vidhya Luminary Awards at DataHack Summit 2024
Analytics Vidhya
JUNE 6, 2024
The stage is set for the Analytics Vidhya Luminary Awards at the DataHack Summit 2024! This is where we celebrate the brightest minds in AI, from groundbreaking work in Generative AI to innovative solutions in the tech landscape. Witness the future being shaped, and join us in honoring these AI leaders. Nominate your heroes in […] The post Analytics Vidhya Luminary Awards at DataHack Summit 2024 appeared first on Analytics Vidhya.
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.
What is reduce() Function in Python?
Analytics Vidhya
JUNE 6, 2024
Introduction Python is a powerful and versatile programming language with many built-in functions. One such function is reduce(), a tool for performing functional computations. It helps reduce a list of values to a single result. By applying a function to the iterable’s elements, reduce() returns a single cumulative value. This reduce() function is part of […] The post What is reduce() Function in Python?
Starship's Fourth Flight Test: Window Opens 07:00 AM Central Time
Hacker News
JUNE 6, 2024
SpaceX designs, manufactures and launches advanced rockets and spacecraft. The company was founded in 2002 to revolutionize space technology, with the ultimate goal of enabling people to live on other planets.
Practice Python type() Function with Examples
Analytics Vidhya
JUNE 6, 2024
Introduction Learning Python’s type() function is crucial to get hands on the various types of variables and objects in Python. This feature is necessary for debugging and is also a must-have to ensure that the software works as intended. Further in this article, we will be talking on syntax, features, and application of type() function […] The post Practice Python type() Function with Examples appeared first on Analytics Vidhya.
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
SpaceX's Starship rocket completes test flight, successfully splashes down
Hacker News
JUNE 6, 2024
The fourth Starship test flight completed new milestones as SpaceX continues to advance development of the mammoth vehicle.
A Guide to Python HashMaps
Analytics Vidhya
JUNE 6, 2024
Introduction In computer science, hashmaps are a crucial type of data structure. They implement an associative array that associates values with keys. HashMaps effectively computes an index into an array of buckets or slots containing the required information by utilizing a hash function. This results in highly efficient insertion, retrieval, and deletion processes.
USA Solar Panel Manufacturing Capacity Soared 71% in Q1 2024
Hacker News
JUNE 6, 2024
Florida and Texas charge ahead on solar installs while California stumbles due to policy changes WASHINGTON, D.C. — A record-setting 11 gigawatts (GW) of new solar module manufacturing capacity came online in the United States during Q1 2024, the largest quarter of solar manufacturing growth in American history. According to. [continued] The post USA Solar Panel Manufacturing Capacity Soared 71% in Q1 2024 appeared first on CleanTechnica.
Build RAG applications using Jina Embeddings v2 on Amazon SageMaker JumpStart
AWS Machine Learning Blog
JUNE 6, 2024
Today, we are excited to announce that the Jina Embeddings v2 model, developed by Jina AI, is available for customers through Amazon SageMaker JumpStart to deploy with one click for running model inference. This state-of-the-art model supports an impressive 8,192-tokens context length. You can deploy this model with SageMaker JumpStart, a machine learning (ML) hub with foundation models, built-in algorithms, and pre-built ML solutions that you can deploy with just a few clicks.
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.
Telegram Stars: Pay for Digital Goods and More
Hacker News
JUNE 6, 2024
Over 400 million users interact with bots and mini apps on Telegram every month – to buy products, access services, play games, and much more. With today's update, bots and mini apps can sell digital goods and services.
About a dog
FlowingData
JUNE 6, 2024
For NYT, Sam Anderson, with illustrations by Gaia Alari, tells the story of his family dog Walnut. The storytelling and animation format work well to depict the love of a pet. For some reason, someone started cutting onions while I was reading.
In the Ruins of Edward Gibbon's Masterpiece
Hacker News
JUNE 6, 2024
“Decline and Fall of the Roman Empire” is an enduring work—just not of history.
Introduction to investing in silver coins and bullion
Dataconomy
JUNE 6, 2024
In the last 700 years, various currencies have risen and fallen in value as the world’s currency. Most of them, like the British Guinea and the Spanish silver dollar, were backed by bullion. That is because of the value that precious metals like silver hold. This article discusses silver investments, teaching how to invest in it and key considerations for potential investors.
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
Run agile field services using FSM software for optimizing scheduling and dispatching
Dataconomy
JUNE 6, 2024
One critical workflow that gets streamlined using best practices of field service management is scheduling and dispatching. Using manual paperwork and phone calls for scheduling isn’t the best use of your field service team’s time. This also makes your operations susceptible to human error. Managers must juggle various factors such as technician availability, travel time, and job priorities, often resulting in suboptimal schedules.
The Lost Art of the Negative
Hacker News
JUNE 6, 2024
Film cameras are seeing another renaissance. But some new photographers are leaving something behind: the tea-colored originals that determine the life of pictures.
Best AI crypto tokens for investment in 2024
Dataconomy
JUNE 6, 2024
The birth of AI crypto generated a strong wave in the entire crypto industry, fueled mainly by the rise of their market share to a breathtaking $2.7 billion to $26 billion. It is incredible how quickly people catch on to this new trend. For those looking for more affordable options, you might be interested in crypto under $1 that will explode. From a generous estimate, VanEck, an investment manager, predicts that AI crypto could generate as much as $51 billion by 2030.
Maximizing Profit and Productivity: The New Era of AI-Powered Accounting
Speaker: Yohan Lobo and Dennis Street
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
DuckDuckGo offers "anonymous" access to AI chatbots through new service
Hacker News
JUNE 6, 2024
DDG offers LLMs from OpenAI, Anthropic, Meta, and Mistral for factually-iffy conversations.
Using watsonx.ai to Solve a Decision Optimization Problem for Telephone Production
IBM Data Science in Practice
JUNE 6, 2024
Introduction Decision optimization plays a crucial role in production planning, helping companies maximize profits while adhering to various constraints. In this article, we will demonstrate how to use watsonx.ai’s Prompt Lab module to generate decision optimization code for a simple linear programming problem involving telephone production. We will then run the generated code in the Decision Optimization module in the watsonx.ai platform to view the results.
Dragonfly: A large vision-language model with multi-resolution zoom
Hacker News
JUNE 6, 2024
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Why Cisco’s AI News Didn’t Inspire The Market
R. Scott Raynovich
JUNE 6, 2024
At its Cisco Live annual conference in Las Vegas, Cisco announced a $1 billion AI investment fund, but its stock price did not go up.
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?
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