Getting Started with Google Cloud Platform in 5 Steps
KDnuggets
OCTOBER 1, 2023
Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.
KDnuggets
OCTOBER 1, 2023
Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.
Analytics Vidhya
OCTOBER 1, 2023
Introduction Before the large language models era, extracting invoices was a tedious task. For invoice extraction, one has to gather data, build a document search machine learning model, model fine-tuning etc. The introduction of Generative AI took all of us by storm and many things were simplified using the LLM model. The large language model […] The post Building Invoice Extraction Bot using LangChain and LLM appeared first on Analytics Vidhya.
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insideBIGDATA
OCTOBER 1, 2023
LLM Vicuña, Chatbot Arena, and the race to increase LLM context windows: In this video presentation, guest Joey Gonzalez joins our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, to talk about developing models and platforms that leverage and improve LLMs, as well as the future of AI development and access.
Analytics Vidhya
OCTOBER 1, 2023
Introduction Satellite imagery has become an indispensable asset in our modern world, offering invaluable insights into our environment, climate, and land usage. These images serve many purposes, from disaster management and agriculture to urban planning and environmental monitoring. As the volume of satellite imagery continues to grow, there is an increasing need for efficient and […] The post Satellite Image Classification Using Vision Transformers appeared first on Analytics Vidhya.
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?
Data Science Dojo
OCTOBER 1, 2023
With the introduction of LLaMA v1, we witnessed a surge in customized models like Alpaca , Vicuna , and WizardLM. This surge motivated various businesses to launch their own foundational models, such as OpenLLaMA , Falcon , and XGen , with licenses suitable for commercial purposes. LLaMA 2, the latest release, now combines the strengths of both approaches, offering an efficient foundational model with a more permissive license.
OCTOBER 1, 2023
Checking out this AI chatbot's new features? Make sure to keep these privacy tips in mind during your interactions.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
OCTOBER 1, 2023
AI could make personalized learning accessible for all. Most of us have vivid (and sometimes painful) memories of struggling to learn something new at some point in our lives.
Hacker News
OCTOBER 1, 2023
In 1889, a slender building was unveiled on a commercial stretch of Lower Broadway, snugly situated between two older structures. Rising 11 stories, it wasn't the tallest tower in the city. Nor did it win praise for how it made the most of its 21.5-foot frontage with a graceful Romanesque arched entrance.
OCTOBER 1, 2023
It could soon be possible to measure changes in depression levels like we can measure blood pressure or heart rate.
Machine Learning Research at Apple
OCTOBER 1, 2023
Optimizing proper loss functions is popularly believed to yield predictors with good calibration properties; the intuition being that for such losses, the global optimum is to predict the ground-truth probabilities, which is indeed calibrated. However, typical machine learning models are trained to approximately minimize loss over restricted families of predictors, that are unlikely to contain the ground truth.
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!
OCTOBER 1, 2023
Brett Kagan, a fast-talking neuroscientist with the charged energy of someone on the cusp of a breakthrough, opened the door of a refrigerated …
Hacker News
OCTOBER 1, 2023
This article documents my learnings from designing and building a DIY Pen Plotter during the summer of 2023.
OCTOBER 1, 2023
When GPT-4 was released in March this year, the model was branded as an advanced model with multimodal capabilities.
Christian Haschek
OCTOBER 1, 2023
Let's Encrypt is one of these services that seemed impossible just a few years ago.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
OCTOBER 1, 2023
Researchers are now using synthetic text-to-speech technology to transform eBooks into audiobooks, and not just any audiobooks — ones that use your own AI-generated voice.
OCTOBER 1, 2023
The continued use of artificial intelligence (AI) throughout the world has sparked a number of concerns and conversations.
DagsHub
OCTOBER 1, 2023
DagsHub provides a free remote MLflow Tracking server for experiment tracking and model registry with every repository. DagsHub integration with MLflow MLflow, an open-source tool for managing the machine learning lifecycle, enables real-time tracking of various experiment aspects like parameters, metrics, metadata, and artifacts (e.g., data or trained ML models).
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
OCTOBER 1, 2023
Artificial intelligence (AI) is rapidly changing the landscape of contemporary warfare. AI is emerging as a critical force enhancer in a reciprocal technology exchange between the civilian and military sectors. This article delves into the profound implications of AI on military operations, decision-making processes, and the evolving role of human soldiers on the battlefield.
Explosion
OCTOBER 1, 2023
This release drops support for Python 3.6 and adds support for Python 3.12. ✨ New features and improvements Add support for Python 3.12 (#12979). Use the new library Weasel for spaCy projects func.
OCTOBER 1, 2023
Delving deep into memory, the hippocampus stands out, influencing the myriad shades of our recollections.
Explosion
OCTOBER 1, 2023
✨ New features and improvements Add support for model repositories other than Hugging Face Hub (#331). Add support for fsspec filesystems as a repository type (#327, #331). Add support for NVTX Ra.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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