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In this post, we create a computer use agent demo that provides the critical orchestration layer that transforms computer use from a perception capability into actionable automation. This demo deploys a containerized application using AWS Fargate across two Availability Zones in the us-west-2 Region.
Check out how Sophie AI’s cognitive engine orchestrates smart interactions using a multi-layered approach to AI reasoning. Book a live demo and discover how Sophie AI can reshape your AI-driven customer service, reduce operational costs, and unlock new revenue opportunities. ” Curious how it works?
Customizable Uses prompt engineering , which enables customization and iterative refinement of the prompts used to drive the large language model (LLM), allowing for refining and continuous enhancement of the assessment process. Add a new user to the Amazon Cognito user pool deployed by the AWS CDK during the setup.
As data is growing at an exponential rate, organizations are looking to set up an integrated, cost-effective, and performant data platform in order to preprocess data, perform feature engineering, and build, train, and operationalize ML models at scale. A key component of the model building and development process is feature engineering.
We specifically instruct the LLM to first mimic a step-by-step thought process for arriving at the answer (chain-of-thought reasoning), an effective measure of prompt-engineering to improve the output quality. For this demo setup, we describe the manual steps taken in the AWS console.
The top-level definitions of these abstractions are included as part of the prompt context for query generation, and the full definitions are provided to the SQL execution engine, along with the generated query. The demo code is available in the GitHub repository. She holds an undergraduate degree in Computer Science & Engineering.
During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. Because the solution doesnt require domain-specific knowledge, it even allows engineers of different disciplines and levels of expertise to resolve issues.
Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities. It allows data scientists and machine learning engineers to interact with their data and models and to visualize and share their work with others with just a few clicks.
announced the public release of its Execution OSa GTM (go-to-market) operating system that blends multi-agent AI, on-demand GTM specialists, and a real-time Analysis Engine to execute go-to-market strategy with zero internal lift. noticed a spike in demo bookings from California-based financial firms. Today, OneShot.ai
Join us every three weeks for ‘Demo Friday’ at Hello Customer, a free webinar event led by our Chief Technology Officer, Jonas Beullens. Demo Fridays are set against a backdrop of common challenges our clients face, from managing customer perceptions about pricing to enhancing the customer experience across various service points.
With next generation reasoning capabilities and a new AI engine, the Comm100 AI Agent offers advanced capabilities and performance, unlocking greater efficiency gains for CX support teams. After hundreds of hours of engineering and testing, we can confidently say thats exactly what Comm100 AI Agent delivers.
For example, a 2002 GitLab survey has shown that 82% of remote engineers name communication as the most challenging part of their work. According to the project flow, teams and sub-teams can use daily, weekly, or bi-weekly standups, sprint planning and results demo sessions. Schedule regular syncs. Share progress and plans.
Whether your HR department needs a Q&A workflow for employee benefits, your legal team needs a contract redlining solution, or your analysts need a research report analysis engine, Agent Creator provides the tools and flexibility to build it all. The following demo shows Agent Creator in action.
Plus, our dedicated AI engineering team has crafted a pre-built, certified question libraryso that you can unlock the immense value of Auto QM starting on day one. 61% of contact center leaders saw an increase in difficult conversations over the past year. Why We Built It: Data management shouldnt require a ticket to engineering.
For this demo, we use the following description for the knowledge base: This knowledge base contains manuals and technical documentation about various car makes from manufacturers such as Honda, Tesla, Ford, Subaru, Kia, Toyota etc. He holds an Masters in Computer Engineering from University of Illinois at Chicago.
As an added bonus, we’ll walk you through a Stable Diffusion deep dive, prompt engineering best practices, standing up LangChain, and more. Hands-on walk through: Foundation Models on SageMaker Lesson 1 slides Lesson 1 hands-on demo resources 2. More of a reader than a video consumer?
In this demo you will be building an extremely simple, yet powerful, real-time transcription service in ASP.NET using Nexmo’s.NET SDK and Microsoft Azure’s Speech SDK. Transcription Engine. The region in the demo is eastus – derived from the region you configured your speech service for. Prerequisites.
After getting the results, visit the top websites on the first search engine result page. Shortlist Some Solution Providers and Ask for Free Demo Comparing some key aspects of different solution providers will give you a fair idea about which one you must shortlist and which one you shouldn’t. Ask for a Free demo!
Leslie Cottenje notes that it is important to question: how real is the demo? Demo environments are at risk of being engineered to appear perfect. Consider the number of critical APIs that are embedded. Double the APIs – quadruple your problems!
As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.
The Spectrum of Self-Service Solutions Digital self-service can take various forms, including chatbots , dynamic FAQs , and semantic search engines. BOOK A DEMO The Role of Natural Language Processing (NLP) For self-service solutions to truly excel, they must be equipped with robust Natural Language Processing (NLP) technology.
Now, while casinos like NetBet developed their AI assistant in-house, what if youre an iGaming operator and dont have a full team of engineers to build this from the ground-up? Get a Personalized Demo Discover how Comm100s AI-powered solutions can transform your customer experience. Contact us today for a personalized demo!
To develop models for such use cases, data scientists need access to various datasets like credit decision engines, customer transactions, risk appetite, and stress testing. Kesaraju Sai Sandeep is a Cloud Engineer specializing in Big Data Services at AWS.
With Streamlit , developing demo applications for your ML solution is easy. As an example, we use a custom Amazon Rekognition demo, which will annotate and label an uploaded image. This will serve as a starting point, and it can be generalized to demo any custom ML model. sh setup.sh is modified on disk.
in Mechanical Engineering from the University of Notre Dame. Max Goff is a data scientist/data engineer with over 30 years of software development experience. Cloud Engineer specializing in developing cloud native solutions and automation. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud. She received her Ph.D.
Panasonic recently unveiled a demo car equipped with an AR system that projects images directly onto the inside of the windshield, augmenting the driver’s vision with a very wide field of view from outside the car. billion in 2023 , up from $1.3 billion in 2018.
The high-level steps are as follows: For our demo , we use a web application UI built using Streamlit. Vivek Bhadauria is a Principal Engineer at Amazon Bedrock with almost a decade of experience in building AI/ML services. The web application launches with a login form with user name and password fields.
In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. Prompt engineering helps to effectively design and improve prompts to get better results on different tasks with LLMs.
VistaPrint created a placement and offer engine (POE), which allows data scientists and marketers to collaborate. Mouloud Lounaci leads the Engineering team for Marketing Optimization at Vista. Emeline Escolivet is the Engineering Manager for the Recommendations team at Vista.
Today, we are excited to unveil three generative AI demos, licensed under MIT-0 license : Amazon Kendra with foundational LLM – Utilizes the deep search capabilities of Amazon Kendra combined with the expansive knowledge of LLMs. Having the right setup in place is the first step towards a seamless deployment of the demos.
There is a strong inbound interest for our product so prospective customers schedule a demo with us & 60-70% demos convert into successful conversion. – Give product demos and training to new customers. – Manage our inbound leads & follow up with those who haven’t joined or scheduled a demo.
Interact with several demos that feature new applications, including a competition that involves using generative AI tech to pilot a drone around an obstacle course. This session uses the Claude 2 LLM as an example of how prompt engineering helps to solve complex customer use cases. Reserve your seat now! Reserve your seat now!
In addition to deploying the solution, we’ll also teach you the intricacies of prompt engineering in this post. In this demo, an outbound call is made using the CreateSipMediaApplicationCall API. In this demo, the prompts are designed using Anthropic Claude Sonnet as the LLM. I am the V P of engineering here at any company.
Get a Demo. Get a Demo. In his most recent position as Vice-President, Global Virtual Sales and Engineering (GVSE), he led the organization through several strategic transitions to accelerate growth at scale. Conversational AI. Emotion AI. Speech Analytics. Our Mission. Board of Directors. Testimonials.
In this demo, we use an Asterisk server (a free contact center framework) deployed on an Amazon EC2 server to emulate a contact center connected to the PSTN through an Amazon Chime Voice Connector. As part of this demo, a phone number is acquired via the Amazon Chime SDK and associated with the Asterisk PBX. on an Amazon EC2 Instance.
Integration with backend engines – Model servers have integrations with backend frameworks like DeepSpeed and FasterTransformer to partition large models and run highly optimized inference. Multi-engine support – DJL Serving can simultaneously host models using different frameworks (such as PyTorch and TensorFlow). The full model.py
Check out the following demo—seeing is believing! In the demo, our Amazon Q application is populated with a set of AWS whitepapers. Play with it, try all the features discussed in this post, and copy the things you saw in the demo video. He received his MSc in Software Engineering from Sorbonne University in Paris.
Waychal, who previously led engineering at a16z-backed Canal and holds 5 AI patents, brings deep technical expertise to the challenge. Applied Labs demo The stakes are high a single misstep in handling customer inquiries or operational tasks can erode trust and escalate problems. ” Woo said.
BOOK A DEMO So what are the benefits of knowledge management? Keyword-based KMS A keyword-based KMS means the search engine will identify keywords in the user’s query and try to match these with the content loaded in the knowledge base. All these situations are inevitable. Upgrade your company’s knowledge management.
Clean up The services used in this demo can incur costs. Ebbey holds a BS in Computer Engineering and an MS in Information Systems from Syracuse University. By using the capabilities of Amazon Bedrock Agents, it offers a scalable and intelligent approach to managing IaC challenges in large, multi-account AWS environments.
After the results are generated, visit some of the websites on the first page of the search engine result page. Free Demo: Some providers offer free demos. At HoduSoft, we engineer and tailor our multi-level IVR systems for various types and sizes of organizations, including hosted PBX service providers.
In our latest release, we’ve taken the next step in delivering effective omnichannel self-service solutions with the integration of additional natural language understanding engines, enhanced voice capabilities, social chat support and new hosting capabilities for disposable applications.
A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies. The rules engine alerts human moderators upon detecting violations in the video streams. This process involves the utilization of both ML and non-ML algorithms.
In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.
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