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Introduction Recently, with the rise of large language models and AI, we have seen innumerable advancements in natural language processing. Models in domains like text, code, and image/video generation have archived human-like reasoning and performance. These models perform exceptionally well in general knowledge-based questions. Models like GPT-4o, Llama 2, Claude, and Gemini are trained on publicly […] The post A Comprehensive Guide to Fine-Tune Open-Source LLMs Using Lamini appeared fir
Introduction The OpenAI o1 model family significantly advances reasoning power and economic performance, especially in science, coding, and problem-solving. OpenAI’s goal is to create ever-more-advanced AI, and o1 models are an advancement over GPT-4 in terms of performance and safety. This article will explain how to build games with OpenAI o1, such as Brick Breaker […] The post How to Build Games with OpenAI o1?
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.
Today’s office is a blend of old and new, local and remote, young and experienced. Yet, success isn’t far-fetched when grounded in key principles. Language first Communication is a delicate art. It’s not just what we say but how we understand each other. In a diverse workspace , empathy and clarity become the bedrock of productivity. This means actively listening, simplifying complex ideas, and ensuring all voices are heard and valued.
Mickey, a homegrown food-packaging company, is famous for facing down Disney in Paraguay’s Supreme Court. As the family business turns 90, why is it still so popular?
Finding the right SaaS software developers is the only way to make sure the SaaS product you create is a decent and functional one. This is an exceptionally specialized area, and just in case you are about to hire a developer yourself, it is important you know what to look for. The right dev team brings not just tech skills, but understanding about this specific niche.
Finding the right SaaS software developers is the only way to make sure the SaaS product you create is a decent and functional one. This is an exceptionally specialized area, and just in case you are about to hire a developer yourself, it is important you know what to look for. The right dev team brings not just tech skills, but understanding about this specific niche.
Big-name makers of processors, especially those geared toward cloud-based AI , such as AMD and Nvidia, have been showing signs of wanting to own more of the business of computing, purchasing makers of software, interconnects, and servers. The hope is that control of the “full stack” will give them an edge in designing what their customers want. Amazon Web Services (AWS) got there ahead of most of the competition, when they purchased chip designer Annapurna Labs in 2015 and proceeded to design CP
Summary: DALL-E 2 is an AI-powered model by OpenAI that creates high-resolution images from text prompts. Its advanced features, like inpainting and flexible image generation, revolutionise visual content creation. Learn to use DALL-E 2 effectively and explore its diverse marketing, design, and media applications. Introduction DALL-E 2, an advanced image generation model by OpenAI, transforms textual descriptions into high-quality images with remarkable creativity.
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.
Welcome to the Data Engineering Vault an integral part of my Second Brain. It’s a curated network of data engineering knowledge, designed to facilitate exploration and discovery.
Summary: Siamese Neural Networks use twin subnetworks to compare pairs of inputs and measure their similarity. They are effective in face recognition, image similarity, and one-shot learning but face challenges like high computational costs and data imbalance. Introduction Neural networks form the backbone of Deep Learning , allowing machines to learn from data by mimicking the human brain’s structure.
Processing mental health narratives with open-source LLMs ¶ Welcome to the benchmark notebook for the Automated Abstraction track of Youth Mental Health Narratives challenge. For access to the data used in this benchmark notebook, sign up for the competition here. Background ¶ The National Violent Death Reporting System (NVDRS) is a dataset maintained by the Center for Disease Control's Center for Injury Prevention and Control that contains narratives from law enforcement, coroner/medi
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
The identity of the world’s earliest cookbook has long been a subject of debate—and depends a lot on what you consider a cookbook. Some scholars would say.
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.
A little-known provision in US law permits anyone to blow the whistle on financial fraud—and potentially take home a percentage of the funds collected. One undercover sleuth has made a wild career out of it.
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
European Consumer Organization (BEUC) has called on the European Commission to deal with various game publishers, that the BEUC claim are breaching EU consumer protection laws.
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.
Emissions from in-house data centers of Google, Microsoft, Meta and Apple may be 7.62 times higher than official tally Big tech has made some big claims about greenhouse gas emissions in recent years. But as the rise of artificial intelligence creates ever bigger energy demands, it’s getting hard for the industry to hide the true costs of the data centers powering the tech revolution.
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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