How to Build an Alexa Skill to Talk with ChatGPT


Quickly Build an Alexa Skill to talk with ChatGPT

This article is a tutorial on building a personalized voice experience with Amazon Alexa, which allows for conversation with ChatGPT, a large language model trained by OpenAI. Using Alexa Skills Kit Command Line Interface (ASK CLI), the article guides the reader through the steps of creating an Alexa skill and integrating it with ChatGPT API. The tutorial includes adding code, modifying the interaction model, and creating a custom Lambda function that retrieves and processes responses from ChatGPT. All source code is available at the end of the article.


Sparks of AGI – Microsoft Believes GPT-4 is the First Version of Artificial General Intelligence

For those of you who missed Sunday’s emails, this may be the biggest story of the year that no one is picking up on. The quest for “Artificial General Intelligence” was the holy grail of AI researchers since the very beginning.

Even 5 years ago, talking about developing AGI was mocked by respected researchers. Last week Microsoft and a team of 14 PhDs released a paper suggesting that OpenAI has, in fact, created AGI.

The rate at which we are blowing past milestones that were deemed science fiction less than a decade ago is staggering.


Breaking New Ground in Healthcare with the Next Evolution of AI

Microsoft and Nuance have joined forces to launch a new solution, Dragon Ambient Experience (DAX) Express, which automates clinical documentation at scale. DAX Express is the first application to combine advanced reasoning and natural language capabilities of OpenAI’s GPT-4 with conversational and ambient AI. The app will reduce the administrative and cognitive burdens on physicians and nurses, allowing them to spend more time taking care of patients and less time on paperwork. The solution will also analyze vast amounts of patient data and provide AI insights to support informed decision-making, planning, and treatment.


ChatGPT for Customer Service: 7 Use Cases & Benefits in 2023

ChatGPT, a large language model, offers several benefits to customer service operations when integrated as a chatbot. The seven use cases of ChatGPT in customer service include multilingual support, sentiment analysis, personalized responses, quick responses to customer inquiries and complaints, creating customer emails, replying to customer reviews, and automating routine customer service tasks. The benefits of ChatGPT for customer service operations include improving customer satisfaction, reducing the likelihood of negative reviews or social media posts, and reducing the workload of customer service representatives. Companies can expand their customer base and provide support to a global audience using ChatGPT’s multilingual support feature. Additionally, sentiment analysis can be used to identify patterns and trends in customer sentiment over time, which can help companies improve their products or services.


The Future of Cloud Computing, from Hybrid to Edge to AI-Powered

Cloud computing has become an essential part of IT operations for all kinds of organizations, and its definition has changed significantly over the years. The rise of hybrid cloud and multi-cloud has added more complexity and opportunities to the mix, as well as the increasing use of containers and orchestration tools. Furthermore, the pandemic has accelerated the growth of cloud computing as more businesses fulfill their roadmaps within a few months. The future of cloud computing will include more serverless computing, powerful edge devices, and an emphasis on scalability, meterability, manageability, and on-demandability.


The Future of L&D: How AI is Revolutionizing Talent Development

This article discusses the increasing use of AI in the field of learning and development (L&D). The benefits of AI in L&D include increased efficiency and scalability, personalized learning experiences, increased ROI, virtual coaching, interactive simulations, and gamification. With the integration of AI into Microsoft products, L&D professionals can quickly draft workshop outlines, develop content, and create tailored learning experiences. AI can also help organizations achieve increased ROI by delivering customized content to employees, making learning accessible and convenient. Although AI in its current form is not comparable to highly experienced coaches, it has the potential to exhibit more conversational skills, empathy, and critical thinking in the near future.


Navy’s New ‘Project OpenShip’ Aims to Swiftly Apply AI to Data Captured by Vessels at Sea

The US Navy’s Task Force Hopper has launched ‘Project OpenShip’ to streamline its use of artificial intelligence (AI) and machine learning (ML) across the service’s surface fleet. The programme will create low-lift AI and ML applications that can generate value from the data captured on ships daily. The Navy aims to develop and deploy the software for ships’ operators within months. The programme aims to allow the surface fleet’s many different programmes and data sets to work towards common objectives. A common sensor software stack will enable integration of various sensor and information feeds to automate processes and free up time for sailors.


Stanford sends ‘Hallucinating’ Alpaca AI Model out to Pasture over Safety, Cost

Stanford University has taken down a web demo of its Alpaca open-source seven-billion-parameter language model due to safety and cost concerns. The model was developed to function more like OpenAI’s text-davinci-003 and was fine-tuned with 50,000 text samples. However, like all language models, Alpaca is prone to generating misinformation, and the researchers found it to be more susceptible to hallucination and offensive text than its closed-source counterpart. The dataset and code remain available on GitHub, but the demo has been removed due to the limitations of the content filters and the high costs of hosting the model online.