Ausnahme gefangen: SSL certificate problem: certificate is not yet valid 📌 A New Artificial Intelligence Study Shows How Large Language Models LLMs Like GPT-3 Can Learn A New Task From Just A Few Examples Without The Need For Any New Training Data
Team IT Security Nachrichtenportal Logo

🏠 Team IT Security News

TSecurity.de ist eine Online-Plattform, die sich auf die Bereitstellung von Informationen,alle 15 Minuten neuste Nachrichten, Bildungsressourcen und Dienstleistungen rund um das Thema IT-Sicherheit spezialisiert hat.
Ob es sich um aktuelle Nachrichten, Fachartikel, Blogbeiträge, Webinare, Tutorials, oder Tipps & Tricks handelt, TSecurity.de bietet seinen Nutzern einen umfassenden Überblick über die wichtigsten Aspekte der IT-Sicherheit in einer sich ständig verändernden digitalen Welt.

16.12.2023 - TIP: Wer den Cookie Consent Banner akzeptiert, kann z.B. von Englisch nach Deutsch übersetzen, erst Englisch auswählen dann wieder Deutsch!

Google Android Playstore Download Button für Team IT Security
RSS Feed Symbol für Team IT Security 800+ IT News als RSS Feed abonnieren



📚 A New Artificial Intelligence Study Shows How Large Language Models LLMs Like GPT-3 Can Learn A New Task From Just A Few Examples Without The Need For Any New Training Data


💡 Newskategorie: AI Nachrichten
🔗 Quelle: marktechpost.com

Based on the previous text, large language models (LMs) like GPT-3 are trained to predict the next token. A very flexible LM that can “read” any text input and conditionally “write” text that could perhaps follow after the input is produced when this straightforward goal is combined with a sizable dataset, model, and dataset. The […]

The post A New Artificial Intelligence Study Shows How Large Language Models LLMs Like GPT-3 Can Learn A New Task From Just A Few Examples Without The Need For Any New Training Data appeared first on MarkTechPost.

...



Sharing is caring on Social Media

🔗 Reddit
🔗 Telegram
🔗 LinkedIn
🔗 Xing
🔗 Twitter
🔗 Whatsapp
🔗 Facebook
🔗 Flipboard

Join the Team IT Security Community

🔗 "IT Sicherheit" Reddit-Gruppe
🔗 "IT Sicherheit" Telegramm-Seite

📌 A New Artificial Intelligence Study Shows How Large Language Models LLMs Like GPT-3 Can Learn A New Task From Just A Few Examples Without The Need For Any New Training Data


📈 188.9 Punkte

📌 Meet Instructor: A Python Library that Makes it Easy to Reliably Get Structured Data like JSON from Large Language Models (LLMs) like GPT-3.5, GPT-4, GPT-4-Vision


📈 89.34 Punkte

📌 A New Artificial Intelligence Method Called Synthetic Prompting Leverages The Large Language Models LLMs’ Own Knowledge And Generative Power For Improving LLMs’ Reasoning


📈 73.28 Punkte

📌 Researchers from China Introduce ControlLLM: An Artificial Intelligence Framework that Enables Large Language Models (LLMs) to Utilize Multi-Modal Tools for Solving Complex Real-World Task


📈 69.26 Punkte

📌 Meet 3D-GPT: An Artificial Intelligence Framework for Instruction-Driven 3D Modelling that Makes Use of Large Language Models (LLMs)


📈 68.78 Punkte

📌 Exploring the Ability of Large Language Models (LLMs) to Reason About Medical Questions: Insights from an Artificial Intelligence (AI) Study in Denmark


📈 67.43 Punkte

📌 Large Language Models, GPT-3: Language Models are Few-Shot Learners


📈 67.35 Punkte

📌 Meet DualFocus: An Artificial Intelligence Framework for Integrating Macro and Micro Perspectives within Multi-Modal Large Language Models (MLLMs) to Enhance Vision-Language Task Performance


📈 64.4 Punkte

📌 Can Large Language Models Handle Longer Contexts Without Additional Training? This AI Paper Proposes SelfExtend to Stimulate LLMs’ Long Context Handling Potential


📈 62.49 Punkte

📌 This Artificial Intelligence (AI) Research Demonstrates How Large Language Models (LLMs) are Capable of Self-Improving


📈 58.4 Punkte

📌 Researchers from CMU and NYU Propose LLMTime: An Artificial Intelligence Method for Zero-Shot Time Series Forecasting with Large Language Models (LLMs)


📈 58.4 Punkte

📌 Max Planck Researchers Introduce PoseGPT: An Artificial Intelligence Framework Employing Large Language Models (LLMs) to Understand and Reason about 3D Human Poses from Images or Textual Descriptions


📈 58.4 Punkte

📌 Microsoft AI Research Introduces Generalized Instruction Tuning (called GLAN): A General and Scalable Artificial Intelligence Method for Instruction Tuning of Large Language Models (LLMs)


📈 58.4 Punkte

📌 This AI Paper from China Introduces ShortGPT: A Novel Artificial Intelligence Approach to Pruning Large Language Models (LLMs) based on Layer Redundancy


📈 58.4 Punkte

📌 This Artificial Intelligence (AI) Study From the UK Presents A GPT-3 Like Language Model That Can Simulate A Patient’s Health Predictions Using EHRs


📈 57.21 Punkte

📌 Large Language Models, GPT-2 — Language Models are Unsupervised Multitask Learners


📈 55.1 Punkte

📌 A New Artificial Intelligence AI Approach Called PromptPG Learns to Select in-Context Examples From A Small Amount of Training Data via Policy Gradient When Interacting With GPT-3 API


📈 54.34 Punkte

📌 What are Large Language Models (LLMs)? Applications and Types of LLMs


📈 54.07 Punkte

📌 How does GPT-4’s steerable nature set it apart from the previous Large Language Models (LLMs)?


📈 51.09 Punkte

📌 AutoTRIZ: An Artificial Ideation Tool that Leverages Large Language Models (LLMs) to Automate and Enhance the TRIZ (Theory of Inventive Problem Solving) Methodology


📈 50.82 Punkte

📌 Researchers at Stanford and MIT Introduced the Stream of Search (SoS): A Machine Learning Framework that Enables Language Models to Learn to Solve Problems by Searching in Language without Any External Support


📈 50.74 Punkte

📌 Can Artificial Intelligence Match Human Creativity? A New Study Compares The Generation Of Original Ideas Between Humans and Generative Artificial Intelligence Chatbots


📈 50.47 Punkte

📌 Custom Training of Large Language Models (LLMs): A Detailed Guide With Code Samples


📈 49.85 Punkte

📌 This AI Paper from Alibaba Introduces EE-Tuning: A Lightweight Machine Learning Approach to Training/Tuning Early-Exit Large Language Models (LLMs)


📈 49.85 Punkte

📌 EURUS: A Suite of Large Language Models (LLMs) Optimized for Reasoning, Achieving State-of-the-Art Results among Open-Source Models on Diverse Benchmarks


📈 49.59 Punkte

📌 Can Large Language Models (LLMs) label data?


📈 48.6 Punkte

📌 Exploring Creativity in Large Language Models: From GPT-2 to GPT-4


📈 48.11 Punkte

📌 5 Reasons Why Large Language Models (LLMs) Like ChatGPT Use Reinforcement Learning Instead of Supervised Learning for Finetuning


📈 47.78 Punkte

📌 Large Language Models: How Large is Large Enough?


📈 47.3 Punkte

📌 A New Artificial Intelligence Research Proposes Multimodal Chain-of-Thought Reasoning in Language Models That Outperforms GPT-3.5 by 16% (75.17% → 91.68%) on ScienceQA


📈 46.97 Punkte

📌 GPT-4 + Stable-Diffusion = ?: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models


📈 46.61 Punkte

📌 Researchers from China Propose ALCUNA: A Groundbreaking Artificial Intelligence Benchmark for Evaluating Large-Scale Language Models on New Knowledge Integration


📈 46.56 Punkte

📌 Can We Align LLMs to Honesty via Instruction Fine-Tuning? Addressing Hallucination in Large Language Models with Refusal-Aware Instruction Tuning


📈 45.24 Punkte

📌 This AI Paper from Arizona State University Discusses Whether Large Language Models (LLMs) Can Reason And Plan?


📈 45.24 Punkte

📌 The Emergence of Stacking: How is the Self-Referential Nature of Stacking in Large Language Models Transforming the Artificial Intelligence (AI) Industry?


📈 45.04 Punkte











matomo

Kontakt

24/7 kontakt@tsecurity.de

Weitere Informationen

Google Android Playstore Download Button für Team IT Security
🔗 Impressum
🔗 Datenschutz
Paypal Spenden für Projekt

Social Media

🔗 Facebook
🔗 Reddit
🔗 Team IT Security als Elektron App
🔗 © 2015-2023 Team IT Security Nachrichtenportal über Cybersecurity
🔗 CMS "myDraft" a PHP Portal Software