#languagemodels search results

A new study finds Polish is the most effective language for prompting AI - beating English, Spanish, French & more. English only ranked #6. Chinese placed near the bottom. Top spot: 🇵🇱 Polish (88% accuracy) techgaged.com/polish-ranked-… #AI #LLMs #LanguageModels

LLMs show a “highly unreliable” capacity to describe their own internal processes - Ars Technica #AIResearch #LanguageModels #Introspection Article Highlights kontxt.io/document/d/YI-…

Quantum-level detail for NLP is here with QELM—merge sub-bit states and multi-qubit processes in your own pipeline. @IonQ #TechRevolution #LanguageModels #Innovation #qelm github.com/R-D-BioTech-Al…

Open your NLP workflows to quantum advantages via QELM. Build sub-bit models on multi-qubit frameworks. @IBM #AIInnovation #QuantumJump #LanguageModels #qelm github.com/R-D-BioTech-Al…

Sub-bit logic merges with multi-qubit potential in QELM—reshaping your text analytics journey. @Qiskit #LanguageModels #Innovation #QuantumEdge #qelm github.com/R-D-BioTech-Al…

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…

Day 16 of 75 days of LLMs. What if scaling language models unlocks superhuman smarts but amps up toxicity? DeepMind's Gopher, a 280B param beast, crushes benchmarks yet reveals dark sides. Buckle up for mind-blowing insights from training this giant! #AI #LanguageModels 🧵

AI language models use large amounts of text data to learn patterns and generate human-like text. They predict words based on context and can generate coherent responses. Examples include GPT-3 and BERT. #AI #languagemodels

Language models often skip output validation. People just take the bot output and shove it into the renderer. Jinja templates let you run Python code, but that also means things like os.popen can run. #LanguageModels #Jinja

Open the door to quantum-enabled NLP via QELM. Sub-bit encoding plus multi-qubit expansions—start building. @GoogleQuantum #QuantumML #LanguageModels #CuttingEdge #qelm github.com/R-D-BioTech-Al…

QELM: forging quantum-class NLP. Sub-bit detail and multi-qubit integration in an open-source solution. @MicrosoftQuantum #TechFrontier #LanguageModels #qelm github.com/R-D-BioTech-Al…

JMIR Formative Res: Impact of Detailed Versus Generic Instructions on Fine-Tuned Language Models for Patient Discharge Instructions Generation: Comparative Statistical… dlvr.it/TNzNmj #PatientCare #LanguageModels #DischargeInstructions #HealthTech #MachineLearning

Day 11 of 75 Days of LLMs. Remember Mixtral 8x7B? That game-changing sparse MoE model from Mistral AI back in early 2024. It punched way above its weight, matching GPT-3.5 with just 13B active params. Let's revisit why it still rocks in this thread. #AI #LanguageModels

📄@ETHEjournal Call For Papers! 🔹 "Harnessing Large #LanguageModels for Teaching and #Learning: Challenges, Opportunities, and Future Directions" 🗓️Submission deadline: 19 December 2025 ℹ️springeropen.com/collections/ll… #ETHE #Research

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…

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…

Embrace QELM for quantum-based NLP. Experience sub-bit accuracy and multi-qubit expansions in your text solutions. @Rigetti #CuttingEdge #AIResearch #LanguageModels #qelm github.com/R-D-BioTech-Al…

QELM rewrites NLP rules with sub-bit granularity and multi-qubit expansions—fully open-source. @IonQ #AIRevolution #FutureTech #LanguageModels #qelm github.com/R-D-BioTech-Al…

Small Language Models (SLMs) Are More Relevant Than You Think. Get our expertise on the use of SLMs. buff.ly/BDhsFyi #SLM #LLM #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

📢 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

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-…

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

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

📢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! 👋

🚀 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

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…

😇 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…

#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…

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…

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…

REBOTNIX GENAI - GENERATIVE AI FOR YOUR BUSINESS GENAI offers a powerful, generative AI platform that can be deployed directly within your company – without cloud dependency and without ongoing costs. tinyurl.com/29b4hz6a #GenerativeAI #AI #LanguageModels #ComputerVision…

Covert #racism is baked into #AI #LanguageModels, according to a study. In PNAS Journal Club: ow.ly/WQEA50TqjAl #ChatGPT #LLMs #ArtificialIntelligence

1/5 🖥️"You Only Cache Once (YOCO): Decoder-Decoder Architectures for Language Models." This architecture reduces memory demands while retaining global attention capabilities. #AI #MachineLearning #LanguageModels

1/5 🧠"Value Augmented Sampling (VAS)" for aligning and personalizing language models. This framework optimizes reward functions without co-training the policy and value function. #AI #MachineLearning #LanguageModels