Develops your own voice controlled assistant, Melissa, in Python 3
Run Large Language Model locally
Covers Plugin Architecture Implementations for quick scriptingLes informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Harshil Agrawal is an educator, public speaker, a builder, and a developer relations professional. He is known for educating the developer community through the means of blog articles and videos. He enjoys building games and applications for everyday use. Tanay Pant is an author, speaker, educator, and developer relations expert. He is best known for his work with early-stage tech startups and various books on computer science. He has been listed in Firefox's about: credits for his contributions to the Mozilla Foundation's different open source projects.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 51348452-n
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. This new edition of Building a Virtual Assistant for Raspberry Pi will provide new features to your virtual assistant, Melissa, adding advanced capabilities to her. Updated to the latest Python release (Python 3), the book will follow the same structure as its previous edition with new features discussed as you move forward.After walking you through the various STTs, TTSs, and implementation of these components with the Python 3, you will learn about Large Language Models (LLMs) and how to run them on Raspberry Pi. You will build applications/modules for Melissa that will be used by the LLM. The book will feature Plugin Architecture Implementation for Melissa, allowing users to script their own interactions with Melissa. You will also enable Melissa to interact with resources on the internet. In addition to Melissa's voice controlled interface for notes management, this edition will also enable Melissa to be intelligent to assist you with your tasks.Adding to Melissas voice interface from the first edition, you will use an LLM to make Melissa intelligent. You will learn about function calling, providing Melissa access to tools. In conclusion, you will make a smart virtual assistant that runs on Raspberry Pi. What You'll LearnImplement plugin architecture to enable quicker scriptingDevelop modules for conversational interaction with the assistantRun the local LLM instance to empower Melissa with intelligenceInteract with both public and restricted APIs (Application Programming Interfaces)Who This Book Is ForAnyone who has built a home automation project with Raspberry Pi and now want to enhance it by making it voice-controlled. The book would also interest students from computer science or related disciplines. This new edition of Building a Virtual Assistant for Raspberry Pi will provide new features to your virtual assistant, Melissa, adding advanced capabilities to her. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798868817595
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9798868817595
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51348452
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Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51348452
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 51348452-n
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This new edition of Building a Virtual Assistant for Raspberry Pi will provide new features to your virtual assistant, Melissa, adding advanced capabilities to her. Updated to the latest Python release (Python 3), the book will follow the same structure as its previous edition with new features discussed as you move forward.After walking you through the various STTs, TTSs, and implementation of these components with the Python 3, you will learn about Large Language Models (LLMs) and how to run them on Raspberry Pi. You will build applications/modules for Melissa that will be used by the LLM. The book will feature Plugin Architecture Implementation for Melissa, allowing users to script their own interactions with Melissa. You will also enable Melissa to interact with resources on the internet. In addition to Melissa's voice controlled interface for notes management, this edition will also enable Melissa to be intelligent to assist you with your tasks.Adding to Melissa s voice interface from the first edition, you will use an LLM to make Melissa intelligent. You will learn about function calling, providing Melissa access to tools. In conclusion, you will make a smart virtual assistant that runs on Raspberry Pi.What You'll LearnImplement plugin architecture to enable quicker scriptingDevelop modules for conversational interaction with the assistantRun the local LLM instance to empower Melissa with intelligenceInteract with both public and restricted APIs (Application Programming Interfaces)Who This Book Is ForAnyone who has built a home automation project with Raspberry Pi and now want to enhance it by making it voice-controlled. The book would also interest students from computer science or related disciplines. 133 pp. Englisch. N° de réf. du vendeur 9798868817595
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. This new edition of Building a Virtual Assistant for Raspberry Pi will provide new features to your virtual assistant, Melissa, adding advanced capabilities to her. Updated to the latest Python release (Python 3), the book will follow the same structure as its previous edition with new features discussed as you move forward.After walking you through the various STTs, TTSs, and implementation of these components with the Python 3, you will learn about Large Language Models (LLMs) and how to run them on Raspberry Pi. You will build applications/modules for Melissa that will be used by the LLM. The book will feature Plugin Architecture Implementation for Melissa, allowing users to script their own interactions with Melissa. You will also enable Melissa to interact with resources on the internet. In addition to Melissa's voice controlled interface for notes management, this edition will also enable Melissa to be intelligent to assist you with your tasks.Adding to Melissas voice interface from the first edition, you will use an LLM to make Melissa intelligent. You will learn about function calling, providing Melissa access to tools. In conclusion, you will make a smart virtual assistant that runs on Raspberry Pi. What You'll LearnImplement plugin architecture to enable quicker scriptingDevelop modules for conversational interaction with the assistantRun the local LLM instance to empower Melissa with intelligenceInteract with both public and restricted APIs (Application Programming Interfaces)Who This Book Is ForAnyone who has built a home automation project with Raspberry Pi and now want to enhance it by making it voice-controlled. The book would also interest students from computer science or related disciplines. This new edition of Building a Virtual Assistant for Raspberry Pi will provide new features to your virtual assistant, Melissa, adding advanced capabilities to her. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798868817595
Quantité disponible : 1 disponible(s)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Paperback. Etat : new. Paperback. This new edition of Building a Virtual Assistant for Raspberry Pi will provide new features to your virtual assistant, Melissa, adding advanced capabilities to her. Updated to the latest Python release (Python 3), the book will follow the same structure as its previous edition with new features discussed as you move forward.After walking you through the various STTs, TTSs, and implementation of these components with the Python 3, you will learn about Large Language Models (LLMs) and how to run them on Raspberry Pi. You will build applications/modules for Melissa that will be used by the LLM. The book will feature Plugin Architecture Implementation for Melissa, allowing users to script their own interactions with Melissa. You will also enable Melissa to interact with resources on the internet. In addition to Melissa's voice controlled interface for notes management, this edition will also enable Melissa to be intelligent to assist you with your tasks.Adding to Melissas voice interface from the first edition, you will use an LLM to make Melissa intelligent. You will learn about function calling, providing Melissa access to tools. In conclusion, you will make a smart virtual assistant that runs on Raspberry Pi. What You'll LearnImplement plugin architecture to enable quicker scriptingDevelop modules for conversational interaction with the assistantRun the local LLM instance to empower Melissa with intelligenceInteract with both public and restricted APIs (Application Programming Interfaces)Who This Book Is ForAnyone who has built a home automation project with Raspberry Pi and now want to enhance it by making it voice-controlled. The book would also interest students from computer science or related disciplines. This new edition of Building a Virtual Assistant for Raspberry Pi will provide new features to your virtual assistant, Melissa, adding advanced capabilities to her. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798868817595
Quantité disponible : 1 disponible(s)