Write effective prompts for ChatGPT by being specific, providing examples, using system instructions, and iterating based on feedback. Experiment with different phrasings and approaches to guide the model towards desired responses. Use context and constraints to ensure accurate responses.
Discover the key features, pros, and cons of Vertex AI, Azure OpenAI, and Amazon Bedrock, three popular AI platforms for natural language processing tasks. Learn how they differ in their approach to pre-trained language models, integration with cloud ecosystems, pricing, and unique features.
Predera has released a Directory of Large Language Models (LLMs), a curated collection of open-source and proprietary models for various NLP tasks, aiming to provide a valuable resource for researchers, developers, businesses, and enthusiasts. The directory includes details about licenses, model parameters, and links to repositories, and will be regularly updated and maintained by Predera.
The retail industry is undergoing a paradigm shift as it harnesses the power of generative AI and Language Models with Long-Form (LLMs) capabilities. These cutting-edge technologies offer a wide array of use cases that revolutionize customer experiences, optimize operations, and drive business growth. In this blog, we will explore 10 key applications of generative AI and LLMs in retail, while also discussing the benefits and challenges associated with implementing these technologies.
Card-linked services are a powerful tool for businesses to drive customer engagement, increase revenue, and gain valuable data insights through the use of card-linked loyalty programs, targeted offers, and personalized rewards, all while ensuring secure transactions and customer privacy.
Unlocking Efficiency and Collaboration: A Guide to Using Notebooks in AIQ's Workflow Discover how Notebooks can revolutionize your team's workflow and collaboration in Predera's flagship product, AIQ. In this comprehensive tutorial, we delve into the benefits of using Notebooks and provide step-by-step instructions on creating and launching them on AIQ's cloud-based platform. Learn how to streamline your team's processes, enhance productivity, and gain valuable insights from data. Whether you're a Free Tier user or a Professional Tier user with unlimited access, this blog post equips you with the knowledge to optimize your AI development and decision-making capabilities. Explore the power of Notebooks in AIQ and unlock the full potential of your team's collaboration today.
Predera offers pre-built clinical diagnostic models designed to aid in the prediction of Obesity phenotype and response for treatment based on genetic data.
The payment ecosystem is a complex network of entities that facilitate transactions between merchants and customers, with new players such as payment aggregators and technology trends like biometric authentication, AI, regtech, wearables, and blockchain/cryptocurrency continuously shaping the industry.
Predera AI has enhanced its AIQ workflow module with seamless support for large language models (LLMs), including unified prompt engineering, streamlined deployment, and versatile applications. This empowers users to harness the capabilities of LLMs effectively and achieve exceptional results.
Businesses can efficiently gather and prepare data for analysis through various data sources like direct queries, views, stored procedures, and data cubes, and create meaningful and insightful reports using SSRS and Power BI to gain valuable insights and make informed decisions.
Power BI, Tableau, and Looker are three popular business intelligence tools with different strengths and weaknesses, and choosing the right tool for your organization depends on your specific needs and requirements.
Predera's AIQ platform offers a solution for real-time lead scoring by leveraging a cloud data platform like Snowflake, an ML workflow, and a conditional deployment strategy to train and deploy models that can score new leads in real-time, resulting in a 50% increase in conversion rates and 27,000 hours saved in manual efforts.