- GPT is a large language model
- It produces a probability distribution over some vocabulary
- PT is trained to answer questions such as predicting the next word in a sequence
- GPT has a vocabulary of 50,000 words and knows the likely words that will follow other words in some sequence up to 32,000 three pt4
- Applications include copywriting, chat bots, and Al agents for real world tasks
- Research has been done to explore what is possible with language models and culture.
Exploring the Potential of GPT-3: Unlocking Ambiguous Problems with Advanced Language Modeling
- GPT models are probabilistic lanquage models that can generate and predict new text based on given input to the model
- OpenAl has built GPT-3, a much more advanced version of GPT with millions of users leveraging its capabilities
- GPT-3 uses instruction tuning, which trains the model using a large set of question and answer pairs from the internet
- Tools such as Auto GPT, Lang Chain, React and others have been created to build upon this Q&A framework and turn it into an agent capable of solving ambiguous problems
- Research is being done continuously to explore the potential of this new oil computing thanks to GPT.
Exploring the Potential of Al Through Companion Bots, Question Answering and Mandarin Idiom Coaching
- Building a companionship bot involves wrapping PT into an endpoint with added personality and tools
- Question answering and utility functions are examples of tasks that can be automated using language models
- A Mandarin Idiom Coach was built in a hackathon, demonstrating the ease of building language models with code
- An Al can be self-directed to decide what to do, as demonstrated by experiments in creative image generation, storytelling, and proposing other ways to do
Engineers Leverage Embeddings and Language Understanding to Automate Tasks and Enhance Creativity
- The use of embeddings and other large approaches to engineering can simplify processes
- Engineers should focus on the lazy path to accomplish tasks
- One example could be creating a question-answering system with a prompt alone
- Utility functions that automate tasks require basic language understanding
- Examples include generating unit tests, writing documentation, and rewriting functions
- Weekend projects involve low-hanging fruit that require linguistic understanding
- Creativity in text is based on domain knowledge and using PT to generate possibilities.
Exploring New Horizons: How Al and Python are Revolutionizing Task Automation
- Al based systems can incorporate domain knowledge to provide tailored suggestions
- Al agents can generate a “to-do list” and complete tasks autonomously
- Multi-step planning bots, known as AGI (Artifical General Intelligence) or AutoGPT, are creating emergent behavior with few simple steps
- Python can control the agents and is accessible for production use such as weekend projects and businesses
- Baby AGI are connected to Telegram which can do searches and build a task list.
Innovating Al: Making Apps Accessible, Managing Hallucinations and Forming Teams for Accuracy
- People are making apps that are within reach to everyone
- Twitter is a great place to find others working on Al projects
- Managing the hallucination problem involves giving models more examples and fine-tuning, but ultimately humans and software need to work together in teams, with multiple agents and iterations, to ensure accuracy.
Exploring the Potential of GPT-4: A Language Model That Simulates Human Conversation
- GPT-4 is a language model that approximates how people talk
- Its success is dependent on the prompt given to it
- It can simulate personalities and complete narratives by making assumptions about how a conscious being would react in a particular situation
- GPT-4 has been used for tasks such as passing literacy tests and creating business value for Al apps, although its ability to reason is limited.
Al Models and the Privacy Debate: A Comprehensive Look
- The use of prompts in Al can have privacy implications
- SAS companies, cloud providers and private VPCs are available for hosting Al models Open source models may be as good as publicly hosted ones depending on the task