Tue.Jan 16, 2024

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Engineering Lessons Learned from LLM Fine Tuning

Confessions of a Data Guy

Well, I finally got around to it. What you say? Fine-tuning an LLM, that’s what. I mean all the cool kids are talking about and caring on like it’s the next thing. What can I say … I’m jaded. I’ve been working on ML systems for a good few years now, and I’ve seen the […] The post Engineering Lessons Learned from LLM Fine Tuning appeared first on Confessions of a Data Guy.

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Discover the World of Computer Vision: Introducing MLM’s Latest OpenCV Ebook

KDnuggets

Today, we're proud to announce a significant addition to our catalog at Machine Learning Mastery. Known for our detailed, code-centric guides, we're taking a leap further into the realms of Computer Vision with our latest offering.

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Safe Agile Ceremonies: Your Ultimate Guide

Knowledge Hut

In the dynamic world of Agile methodologies, SAFe (Scaled Agile Framework) stands out as a leading approach for enterprise-scale software development. SAFe Agile ceremonies are pivotal elements within this framework, orchestrating collaboration, alignment, and delivery for teams and stakeholders. As a certified SAFe Agilist and having facilitated numerous SAFe ceremonies, I'll share insights and practical experiences to guide you through these scaled agile ceremonies.

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The Top 8 Cloud Container Management Solutions of 2024

KDnuggets

As enterprises rapidly adopt cloud-native technologies, managing containerized applications has become crucial, so this article provides practical insights on the leading container management solutions to help organizations choose the right one for their needs.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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In the spotlight with Adil Kamalsha, ThoughtSpot’s Selfless Excellence champion

ThoughtSpot

This is part of our ongoing spotlight series which highlights ThougthSpot’s quarterly Selfless Excellence champion. At ThoughtSpot, Selfless Excellence is the heart of who we are as a company. It creates room for personal success – but never at the cost of others on the team. Simply put, this means we consider our teammates, customers, and society at large ahead of our own personal wins, and without the distraction of office politics.

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Read This Before Making a Career Switch to Data Science

KDnuggets

From Skill Assessment to Networking: Your Roadmap to Thriving in the World of Data Science.

More Trending

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Confluent Integrates with Pinecone Serverless to Make Real-Time, Cost-Effective GenAI a Reality

Confluent

Confluent integrates with Pinecone Serverless to enable cost-effective development of highly performant GenAI applications fueled by fully managed data streams.

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A Prequel to Data Mesh

Towards Data Science

My personal take on justifying the existence of Data Mesh A senior stakeholder at one my projects mentioned that they wanted to decentralise their data platform architecture and democratise data across the organisation. When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well.

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Real-Time Order Management: The Key to Streamlining Your Business

Confluent

Leverage Confluent and streaming data pipelines to orchestrate order fulfillment and enable efficient real-time backend operations.

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Veritas: Delivering Real-World Data through Datavant on Databricks

databricks

This post was written in collaboration with Jason Labonte, Chief Executive Officer, Veritas Data Research In the realm of healthcare and life sciences.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Get Deeper Insights: Prompt AI directly from your Power BI Interactions

FreshBI

Artificial Intelligence is finding its way into business and I thought I’d share one way for you to benefit from AI if your company uses Power BI for analytics. In this example we use ChatGPT but the principle applies to sending prompts to any Artificial Intelligence. ChatGPT was released on 30 November 2022 and became the quickest app to reach a million users -- a feat it achieved within five days.

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Evolving Your SIEM Detection Rules: A Journey from Simple to Sophisticated

databricks

Cyber threats and the tools to combat them have become more sophisticated. SIEM is over 20 years old and has evolved significantly in.

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Streamlit App: Export DDL

Cloudyard

Read Time: 1 Minute, 33 Second Continuing my exploration of Streamlit, let’s delve into another Streamlit app today that focuses on exporting the Data Definition Language (DDL) of Snowflake objects. Although there isn’t a particular use case driving this exploration, my curiosity led me to develop code for exporting the DDL of both Tables and Stored Procedures.

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How Fox Facilitates Data Trust with Governance and Monte Carlo

Monte Carlo

The Super Bowl. American Idol. The Simpsons. What do all of these programs have in common? They run on data powered by Fox. Building indelible entertainment experiences like these is no walk in the park. Factor in the advertising strategies, media production, partner programming, audience analytics…and you’re looking at an ocean of data that would fill even the deepest trench (we’d like a television show about that too, please!).

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Non-Functional Requirements: Types, Examples & Best Practices

Knowledge Hut

Being a certified project management professional, I wanted to share through this article on non-functional requirements in Agile. Before getting into the topic let me explain the difference between Function and Non-functional requirements, Basic difference is Functional Requirements focus on “What” and Non-functional Requirements focuses on “How” Let us look on to the table below to see the similarities and differences between functional and non-functional requirements.

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Turn Your Laptop Into a Personal Analytics Engine with DuckDB and MotherDuck

KDnuggets

Bring the powerful tools to your laptop.

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Top 30 Machine Learning Skills for ML Engineer in 2024

Knowledge Hut

Embarking on a journey in the highly demanded field of Machine Learning (ML) opens doors to diverse career opportunities. The avenues to acquire the essential skills for a career in ML are plentiful, ranging from Machine Learning online courses and certifications to formal degree programs. However, transitioning from being interested to working in the field requires more than just accumulating theoretical knowledge.

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The Evolution of Enforcing our Professional Community Policies at Scale

LinkedIn Engineering

LinkedIn is always working hard to make sure that its platform is a safe and trusted place for its members. We've been on a journey to strengthen our platform against abuse by continuously improving our account restriction systems. This helps us ensure that our policies are followed and that our community can keep growing. In a previous blog post, we talked about how we built our anti-abuse platform using CASAL.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Solving the weekly menu puzzle: recommendations at Picnic

Picnic Engineering

Figuring out what’s for dinner is that daily question we can all relate to. Not only does it require effort, it can also be hard to get creative, so we often end up sticking to the same few dishes we’re familiar with. At Picnic, we’re on a mission to alleviate the dinner dilemma for our customers. We’ve discovered that in-app recipes serve as a powerful tool to achieve this goal.

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Staying in the Zone: How DoorDash used a service mesh to manage  data transfer, reducing hops and cloud spend

DoorDash Engineering

There have been many benefits gained through DoorDash’s evolution from a monolithic application architecture to one that is based on cells and microservices. The new architecture has reduced the time required for development, test, and deployment and at the same time has improved scalability and resiliency for end-users including merchants, Dashers, and consumers.

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The Future of Data Warehousing

Monte Carlo

As every company becomes a data company, and more users within these companies are discovering new uses for previously unavailable data, existing infrastructure and tools are not just meeting that demand but creating new demands. At the center of it all is the data warehouse, the lynchpin of any modern data stack. In this blog post, we’ll look at six innovations that are shaping the future of the data warehousing, as well as challenges and considerations that organizations should keep in

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Data Governance Trends for 2024

Precisely

In today’s highly digitized world, data is a strategic asset. It’s no longer sufficient to extract value from your data opportunistically. To remain competitive, you must proactively and systematically pursue new ways to leverage data to your advantage. As the value of data reaches new highs, the fundamental rules that govern data-driven decision-making haven’t changed.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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New Snowflake Features Released in December 2023

Snowflake

In the final month of 2023, Snowflake released features around Snowflake Cortex functions, Snowpark ML, cost management and more. Read on to learn more about everything we announced in December. Snowpark Enhancements GPU-powered compute with Snowpark Container Services – public preview in select AWS regions Snowpark Container Services is a fully managed container offering that helps you deploy, manage and scale containerized code, whether it’s a large language model (LLM) or a full-stack a

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