Tabla de Contenidos: “…-- n-gram models -- Hidden Markov models (HMMs) -- Recurrent neural networks (RNNs) -- How LLMs stand out -- Motivations for developing and using LLMs -- Improved performance -- Broad generalization -- Few-shot learning -- Understanding complex contexts -- Multilingual capabilities -- Human-like text generation -- Challenges in developing LLMs -- Amounts of data -- Computational resources -- Risk of bias -- Model robustness -- Interpretability and debugging -- Environmental impact -- Different types of LLMs -- Transformer models -- Example designs of state-of-the-art LLMs -- GPT-3.5 and ChatGPT -- LM pretraining -- Training the reward model -- How to fine-tune the model using reinforcement learning -- GPT-4 -- LLaMA -- PaLM -- Open-source tools for RLHF -- Summary -- References -- Chapter 8: Accessing the Power of Large Language Models: Advanced Setup and Integration with RAG -- Technical requirements -- Setting up an LLM application - API-based closed source models -- Choosing a remote LLM provider -- Prompt engineering and priming GPT -- Experimenting with OpenAI's GPT model -- Setting up an LLM application - local open source models -- About the different aspects that distinguish between open source and closed source -- Hugging Face's hub of models -- Employing LLMs from Hugging Face via Python -- Exploring advanced system design - RAG and LangChain -- LangChain's design concepts -- Data sources…”

Tabla de Contenidos: “…-- The monolithic way -- The microservices way -- Monolithic versus microservices -- Security considerations in microservices architectures -- Complexity paradigm -- Responsibility domain shift -- Lightweight components -- Securing communication between services -- Zero trust principle -- Types of communication -- Data in transit encryption -- Service mesh -- Application programming interfaces (APIs) -- Implementing fine-grained access control -- IAM as the backbone -- Secure end-user authentication -- Decoupling authorizations -- Summary -- Questions -- Answers -- Further reading -- Chapter 7: Implementing Security for Serverless Deployments -- Introduction to serverless security -- What is serverless? …”

Tabla de Contenidos: “…-- Tip 27: Recommended default settings for your X-T5 -- Tip 28: Avoiding the camera menus: practical shortcuts for your X-T5 -- Tip 29: Suggested Fn button assignment -- Tip 30: Recommended My Menu and Quick menu configuration -- Tip 31: Working with custom settings -- Tip 32: Shoot FINE+RAW or NORMAL+RAW! -- Tip 33: Compressed or uncompressed RAW files?…”

Tabla de Contenidos: “…Listing devices -- Showing a device -- Device properties/variables -- Engaging with Things - Node.js SDK implementation guide -- Creating a Thing -- Updating a Thing -- Creating a Thing sketch -- Deleting a Thing -- Listing Things -- Showing a Thing -- Exploring properties - Node.js SDK interaction techniques -- Creating a property -- Updating a property -- Deleting a property -- Listing properties -- Crafting dashboards - unleashing potential via the Node.js SDK -- Creating a dashboard -- Updating a dashboard -- Deleting a dashboard -- Listing dashboards -- Fine-tuning with the Node.js SDK - property value management -- Get a property value -- Set a property value -- Assignment -- Summary -- Chapter 9: Project 4 - Collecting Data from the Soil and Environment for Smart Farming -- Technical requirements -- Smart farming with IoT -- Essential hardware for your agri-tech project -- Architecting your agriculture IoT system -- Schematics and design -- PCB design and the assembly of hardware components -- Perfecting sensor calibration -- Setting up things, networks, and cloud variables -- Cloud variables -- Network configuration -- Coding -- Creating web and mobile dashboards -- What next? …”

Tabla de Contenidos: “…Customizing Copilot with Fine-Tuned Models…”

Tabla de Contenidos: “…-- Implementing linear regression from scratch -- Implementing linear regression with scikit-learn -- Implementing linear regression with TensorFlow -- Estimating with decision tree regression -- Transitioning from classification trees to regression trees -- Implementing decision tree regression -- Implementing a regression forest -- Evaluating regression performance -- Predicting stock prices with the three regression algorithms -- Summary -- Exercises -- Chapter 6: Predicting Stock Prices with Artificial Neural Networks -- Demystifying neural networks -- Starting with a single-layer neural network -- Layers in neural networks -- Activation functions -- Backpropagation -- Adding more layers to a neural network: DL -- Building neural networks -- Implementing neural networks from scratch -- Implementing neural networks with scikit-learn -- Implementing neural networks with TensorFlow -- Implementing neural networks with PyTorch -- Picking the right activation functions -- Preventing overfitting in neural networks -- Dropout -- Early stopping -- Predicting stock prices with neural networks -- Training a simple neural network -- Fine-tuning the neural network -- Summary -- Exercises -- Chapter 7: Mining the 20 Newsgroups Dataset with Text Analysis Techniques -- How computers understand language - NLP -- What is NLP? …”

Tabla de Contenidos: “…Equalizers -- Applications -- Balanced frequency spectrum -- Shaping the presentation and timbre of instruments -- Separation -- Definition -- Conveying feelings and mood -- Creative use -- Interest -- Depth enhancements -- More realistic effects -- Stereo enhancements -- Fine-level adjustments -- Better control over dynamic processors -- Removing unwanted content -- Compensating for a bad recording -- The frequency spectrum -- Spectral content -- Bands and associations…”

“…Ne nasce un lavoro collettivo attorno ad alcune figure di pensiero – riconoscimento, desiderio, fine della Storia, violenza, sovranità –, mentre il mondo precipita. …”
Sumario

“…Il volume, che raccoglie i contributi dei migliori specialisti italiani della materia, presenta una genealogia che parte dal protopragmatismo di Emerson e giunge fino ai nostri giorni. Si offre così la possibilità di confrontarsi con il canone classico del pragmatismo di fine Ottocento-inizio Novecento, con le conseguenze e le appropriazioni dei suoi temi al di fuori della stretta osservanza del pensiero dei fondatori, con la ripresa contemporanea e alcuni interessanti sviluppi del dibattito in corso. …”