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Turing Test, Chinese Room, and Large Language Models
Author(s): Moshe Sipper, Ph.D. Originally published on Towards AI. AI-generated image (craiyon) The Turing Test is a classic idea within the field of AI. Originally called the imitation game, Alan Turing proposed this test in 1950, in his paper “Computing Machinery and …
Build Two ChatBots in One Afternoon
Author(s): Brent Larzalere Originally published on Towards AI. Build a Customer Service and an Order Taking ChatBot using the ChatGPT Large Language Model (LLM) AI Chatbot — Mohamed Nohassi (unsplash) On November 30, 2022, OpenAI released the demo version of ChatGPT. It …
Harness the Power of Vector Databases: Influencing Language Models with Personalized Information.
Author(s): Pere Martra Originally published on Towards AI. Supercharge your language models with Vector Databases! Personalize prompts using your own data to shape the behavior of these powerful models, giving context to them. Integrate personal information for a tailored language generation experience. …
This AI newsletter is all you need #54
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we were excited to read Demis Hassabis discussing Deepmind’s upcoming new Gemini Large Language model. Historically DeepMind has primarily dedicated its efforts …
Information Retrieval For Retrieval Augmented Generation
Author(s): Nadav Barak Originally published on Towards AI. Three Battle-Tested Tips to Dramatically Boost Performance Source and copyrights Retrieval Augmented Generation (RAG) refers to Large Language Model (LLM)-based applications that use an Information Retrieval (IR) component in their context generation process. Having …
Attacking Large Language Models: LLMOps and Security
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Assessing Vulnerabilities and Mitigating Risks in Internal Language Model Deployments Image by Author with @MidJourney In the realm of AI security, the spotli͏ght often fall͏s on the prominent͏ facade — the͏ prompt. It …
Do LLMs Need All Those Layers to Achieve In-Context Learning?
Author(s): Jesus Rodriguez Originally published on Towards AI. A recent paper from Amazon Science sheds some light on one of the most important questions regarding LLs. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. …
HuggingFace Transformers Tools and Agents: Hands-On
Author(s): Darya Petrashka Originally published on Towards AI. Learn more Transformers version v4.29.0, building on the concept of tools and agents, provides a natural language API on top of transformers. How to use them? Let’s dive into them having language learning as …
From Text to Beyond Words
Author(s): Akash Rawat Originally published on Towards AI. A brief history of the Large Language Models (LLMs) Photo by Andy Kelly on Unsplash It seems probable that once the machine thinking method had started, it would not take long to outstrip our …
From Text to Beyond Words
Author(s): Akash Rawat Originally published on Towards AI. A brief history of the Large Language Models (LLMs) Photo by Andy Kelly on Unsplash It seems probable that once the machine thinking method had started, it would not take long to outstrip our …
From Text to Beyond Words
Author(s): Akash Rawat Originally published on Towards AI. A brief history of the Large Language Models (LLMs) Photo by Andy Kelly on Unsplash It seems probable that once the machine thinking method had started, it would not take long to outstrip our …
The Generative AI Revolution: Exploring the Current Landscape
Author(s): Towards AI Editorial Team Originally published on Towards AI. Generative AI has gained extensive attention and investment in the past year due to its ability to produce coherent text, images, code, and beyond-impressive outputs with just a simple textual prompt. However, …
Gorilla: Everything You Need to Know
Author(s): Muhammad Arham Originally published on Towards AI. This article introduces Gorilla; UC Berkeley, and Microsoft’s API support for Large Language Models. Image by Author Introduction LLMs suffer from outdated information and they require re-training to keep up-to-date with recent changes. With …
Meet vLLM: UC Berkeley’s Open Source Framework for Super Fast and Chearp LLM Serving
Author(s): Jesus Rodriguez Originally published on Towards AI. The framework shows remarkable improvements compared to frameworks like Hugging Face’s Transformers. Top highlight Image Credit: UC Berkeley I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a …
Evaluate and Monitor the Experiments With Your LLM App
Author(s): Konstantin Rink Originally published on Towards AI. Evaluation and tracking of your LLM experiments with TruLens This member-only story is on us. Upgrade to access all of Medium. Photo by Jonathan Diemel on Unsplash The development of a Large Language Model …
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