#languagemodels ผลการค้นหา

Adopt quantum-based NLP with QELM. Experience sub-bit encoding, multi-qubit synergy, and modern text frameworks. @elonmusk #LanguageModels #FutureReady #AI #qelm github.com/R-D-BioTech-Al…

#textclassification #deeperlearning #languagemodels #naturallanguageprocessing #semantics Integrating Graph-Based Representations with Deep Contextual Models for Text Classification Sumit Mamtani, New York University, USA youtube.com/watch?v=NrYbT5…

Leverage QELM for sub-bit enhancements and multi-qubit architecture—remaking NLP with quantum flair. @Qiskit #QuantumNLP #Innovation #LanguageModels #qelm github.com/R-D-BioTech-Al…

"Proven: Small language models aren't just statistical learners - they nail deductive reasoning tasks by learning the rules! The secret? Induction heads are the stars of their logical inferences. It's time to dive deeper! #AI #LanguageModels #MachineLearning #arXiv"

Boost performance with QELM—quantum-inspired NLP through sub-bit detail and multi-qubit layering. @IonQ #Innovation #LanguageModels #QuantumNLP #qelm github.com/R-D-BioTech-Al…

#retrievalaugmentedgeneration #languagemodels #naturallanguageprocessing #llm MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models Andreas Ottem, Independent Researcher, Norway youtube.com/watch?v=i_sbIm…

#retrievalaugmentedgeneration #languagemodels #naturallanguageprocessing #llm MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models Andreas Ottem, Independent Researcher, Norway youtube.com/watch?v=i_sbIm…

Language models learn grammar, vocabulary, and style by predicting the next word in billions of sentences. They develop linguistic intuition through pattern recognition at massive scale. Statistical learning creates syntactic understanding. #NLP #LanguageModels…

Quantum-level NLP is within reach. QELM’s sub-bit and multi-qubit approach can reshape your text modeling. @QuantumTech #AIResearch #QuantumShift #LanguageModels #qelm github.com/R-D-BioTech-Al…

Anthropic and OpenAI released new LLMs — faster, more accurate models for enterprise. Expect better automation, smarter customer experiences, and scalable content ops. HiveFi integrates these LLMs into your stack. How will your business apply them? #LLM #LanguageModels

We’re heading to #MWCKigali to connect with tech innovators shaping the future of connectivity. At #LelapaAI, we’re building #LanguageModels that help telcos speak to people in their home languages. Let’s connect if you’ll be there! @orange @ethiotelecom @Huawei @AXIAN_Telecom

AI language models use algorithms to predict and generate text based on patterns in large amounts of data. They learn to understand and produce human-like language by analyzing words and phrases to generate coherent responses. #AI #languagemodels #simplified

In NLP, "Perplexity" measures how well a language model predicts text. Lower perplexity = better predictions. It’s like saying, “How surprised is the model by the next word?” Less surprise → smarter model. #NLP #LanguageModels #AI #DeepLearning

Supercharge your NLP pipeline with QELM—quantum’s sub-bit encoding and multi-qubit synergy in one library. @QuantumTech #LanguageModels #Progress #NextGen #qelm github.com/R-D-BioTech-Al…

Turn to QELM for sub-bit detail and multi-qubit expansions—experience quantum leaps in text modeling. @IonQ #AIFrontier #QuantumEdge #LanguageModels #qelm github.com/R-D-BioTech-Al…

Go beyond classical AI with QELM. Sub-bit and multi-qubit combos bring quantum-grade NLP to your fingertips. @Rigetti #FutureAI #LanguageModels #Research #qelm github.com/R-D-BioTech-Al…

AI language models use algorithms to analyze vast amounts of text data and learn patterns. They generate human-like text responses by predicting the next word based on the input. This process allows them to understand language and generate coherent responses. #AI #languagemodels

Google AI Stax: Essential Tool for Developers to Evaluate Large Language Models #Stax #LanguageModels #AItools #DeveloperCommunity #ModelEvaluation itinai.com/google-ai-stax… Understanding Stax: A Tool for Evaluating Large Language Models Evaluating large language models (LLMs) …

PhyloTune: An efficient method to accelerate phylogenetic updates using a pretrained DNA language model. #Phylogenetics #LanguageModels @NatureComms nature.com/articles/s4146…

Join us in welcoming our distinguished speaker for the HCI Capacity Building Workshop, Jesujoba Alabi! 🚀 With a solid academic background and extensive experience as a PhD student and Researcher at Saarland University. #HCICapacityWorkshop #LanguageModels #NLP #exploreCSR

1/ ⚠️ Convenience comes at a cost. Massive #LanguageModels like #ChatGPT and #Gemini work well, until they don’t. For billions, especially in Africa, they fail to reflect #LocalLanguages, context, and lived experience. 👉🏾 cacm.acm.org/news/aligning-…

📢 Come chat about #creditassignment with #languagemodels tomorrow at #ICML2024 ! 📅 27 Jul, 10am 📍Room Stolz 0

We’re heading to #MWCKigali to connect with tech innovators shaping the future of connectivity. At #LelapaAI, we’re building #LanguageModels that help telcos speak to people in their home languages. Let’s connect if you’ll be there! @orange @ethiotelecom @Huawei @AXIAN_Telecom

"LLMs aren't linguistic agents like humans. Sensational claims overlook that language is embodied, participatory & dynamic—qualities incompatible with current AI. Languaging isn't fully capturable by data or models. #AI #LanguageModels #CognitiveScience" sciencedirect.com/science/articl…

🤔 Explored LLMs' layer activation levels with the same and tweaked prompts - fascinating insights! 📊💡 #LanguageModels #DeepLearning

DSPy User Guide – Part 1 ◼ Learn to "program" Language Models with DSPy! Think inputs & outputs, not prompts & strings. No time for notebooks or data diving? Here's a concise guide to get you started with sentiment analysis #NLP #LanguageModels #DSPy nattaylor.com/blog/2024/dspy…

🚀 Don’t miss the #EANSwebinar tomorrow on Large #languagemodels in #neurosurgery! Join expert Omar Arnaout, M.D. & our esteemed panel. 👉 Register: eans.org/page/EANS_Webi… 🌐 #Neurosurgery #Webinar #Innovation #EANSonline

😇 Good news: I'm finally past my "Why do open source models need authentication?" phase. 😈 Bad news: I've now entered my "Why do they also need my phone number?" phase. Why do you think they do it? Are they planning to call me or something?? #MistralAI #LanguageModels…

A new study explores how human confidence in large language models (LLMs) often surpasses their actual accuracy. It highlights the 'calibration gap' - the difference between what LLMs know and what users think they know. #LanguageModels #AIConfidence #CalibrationGap…

European Course on AI in Neuroimaging: Meet the Faculty! Professor Adil Alpkocak – Bakircay University Izmir, Turkey Reserve your place today: buff.ly/dFScQA3 #AI #LanguageModels #Neuroradiology #ThisIsESNR @gennadanna

Genomic Touchstone: Benchmarking Genomic Language Models in the Context of the Central Dogma.#gLMs #LanguageModels #Genomics #Bioinformatics #DNA #RNA @biorxivpreprint biorxiv.org/content/10.110…

I am excited to be presenting HW-GPT-Bench at #NeurIPS2024 in Vancouver this week. HW-GPT-Bench is a hardware-aware and calibrated architecture benchmark for language models. #NAS #LanguageModels #HardwareOptimization

📢Really excited to present our work on #CreditAssignment with #LanguageModels as a #spotlight at the #ICML@London meetup. 📅Happening tomorrow, Fri, 12th Jul, 3pm BST, 📍UCL Cruciform Building, LT1 Come say hi! 👋

#EdgeDeployment of #LanguageModels: Are They Ready? Deploying #LLMs at the edge offers low latency, enhanced privacy, and real-time insights. This article delves into the challenges, solutions, and opportunities for edge-based AI in industries such as healthcare, robotics, and…

Excited about the first keynote: welcome @zeynepakata from TUM and @HelmholtzMunich who will talk about interpretable vision and #languagemodels. #HIconference2024

Dive into training Language Models with C#. Learn the techniques for both Large and Small models. Read the article now: tinyurl.com/yrdhs4c7 #LanguageModels #CSharp #ML #LLM #SLM

Prototype-based networks can greatly enhance the robustness of #languagemodels in text classification, addressing real-world needs by combining robustness & interpretability for #trustworthyAI. Learn how in our Findings of #EMNLP24 accepted paper. neclab.eu/research-group… #NECLabs