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Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more

OpenAIOctober 2, 202425Views 0Likes 0Comments

Today, we’re releasing two updated production-ready Gemini models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002 along with: >50% reduced price on 1.5 Pro (both input and output for prompts <128K) 2x higher rate limits on 1.5 Flash and ~3x higher on 1.5 Pro 2x faster output and 3x lower latency Updated default filter settings These new models build on…

Machine Learning Operations (MLOps) For Beginners | by Prasad Mahamulkar | Aug, 2024

Data ScienceOctober 2, 202419Views 0Likes 0Comments

End-to-end Project Implementation 19 min read · Aug 29, 2024 Image created by the authorDeveloping, deploying, and maintaining machine learning models in production can be challenging and complex. This is where Machine Learning Operations (MLOps) comes into play. MLOps is a set of practices that automate and simplify machine learning (ML)…

How to Create Sales Orders on NetSuite using the API

UncategorisedOctober 1, 202418Views 0Likes 0Comments

When it comes to running your AR process on NetSuite, one of the most common tasks you'll do is creating sales orders. Manually creating sales orders can be tedious - the NetSuite UI is not very straightforward, and there are further complexities that are present only in the API and not on the NetSuite UI…

Be Part of the AI Revolution at the Chatbot Conference Tomorrow! | by Cassandra C. | Sep, 2024

Human AiSeptember 28, 202420Views 0Likes 0Comments

Tomorrow, September 24, 2024, San Francisco will host one of the biggest global AI events of the year: the Chatbot Conference! Whether you’re passionate about artificial intelligence, curious about chatbots, or simply eager to connect with industry leaders, this conference is for you. This is more than just a conference; it’s your opportunity to explore…

Best Vision Language Models for Document Data Extraction

UncategorisedSeptember 28, 202429Views 0Likes 0Comments

Vision Language Models (VLMs) are set to become ubiquitous, sparking a surge of tools that can address day-to-day visual challenges. As we enter this "golden age" of VLMs, it becomes mission-critical for businesses to quickly evaluate the best available options. This is especially important in scenarios like data extraction, where dozens of models…

Straight Through Processing (STP) in Insurance

NanonetsSeptember 27, 202422Views 0Likes 0Comments

The need for automation in the insurance industry is more pressing than ever. According to a recent study by Datos Insights, the insurance industry lags in terms of digitisation, with only 20% automation in underwriting and less than 3% automation in claims processing across sectors. This gap represents a significant opportunity for improvement and cost…

Is Scaling the Only Path to AI Supremacy? This AI Paper Unveils ‘Phantom of Latent for Large Language and Vision Models

AI NewsSeptember 27, 202417Views 0Likes 0Comments

Large language and vision models (LLVMs) face a critical challenge in balancing performance improvements with computational efficiency. As models grow in size, reaching up to 80B parameters, they deliver impressive results but require massive hardware resources for training and inference. This issue becomes even more pressing for real-time applications, such as augmented reality (AR), where…

How AlphaChip transformed computer chip design

OpenAISeptember 27, 202427Views 0Likes 0Comments

Research Published 26 September 2024 …

Depth-First Search — Fundamental Graph Algorithm | by Robert Kwiatkowski | Sep, 2024

Data ScienceSeptember 27, 202423Views 0Likes 0Comments

DFS can be implemented in two ways: iterative and recursive. Here, I’ll show you how to do it recursively as IMHO it is easier to understand and to code. This is also a fantastic opportunity to learn how recursion works if you’re not familiar with it yet. DFS implementation will be in pure Python. Below…

How to automate insurance underwriting

UncategorisedSeptember 27, 202424Views 0Likes 0Comments

Traditional (manual) underwriting processes often struggle to keep pace with the growing complexity of modern risk assessment, data collection, and policy management. 🧐 According to a McKinsey report, manual underwriting processes can increase operational costs by up to 40% and extend the underwriting cycle time by several days to weeks!Scaling traditional underwriting operations becomes…