Evaluating TnT-LLM Text Classification: Human Agreement and Scalable LLM Metrics Post date April 19, 2025 Post author By Language Models (dot tech) Post categories In bing-copilot, end-to-end-framework, label-taxonomies, large-language-models, science fiction, taxonomy-generation, text-mining, tnt-llm
Evaluating TnT-LLM: Automatic, Human, and LLM-Based Assessment Post date April 19, 2025 Post author By Language Models (dot tech) Post categories In bing-copilot, end-to-end-framework, label-taxonomies, large-language-models, science fiction, taxonomy-generation, text-mining, tnt-llm
A New AI Tool Builds Knowledge Graphs So Good, They Could Rewire Scientific Discovery Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
Scientists Built a Smarter, Sharper Materials Graph by Teaching AI to Double-Check Its Work Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
AI Model Reads Thousands of Studies, Nails Battery Science Better Than Expected Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
Scientists Built a Knowledge Graph for Materials—And You Can Actually Use It Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
Scientists Built a Smart Filter for Science Papers—and It’s Cleaning Up the Data Chaos Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
This AI Doesn’t Just Skim Scientific Papers—It Tags, Sorts, and Explains Them Too Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
This AI Reads Science Papers Like a Pro, Even When Humans Can’t Agree on the Words Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
Researchers Build AI Knowledge Graph That Sifts Through Science Papers For You Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
Tired of Sifting Through Science Papers? This AI Knowledge Graph Does It for You Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In artificial-intelligence, entity-resolution, functional-materials, knowledge-graph, large-language-model, named-entity-recognition, natural-language-processing, relation-extraction
TnT-LLM: LLMs for Automated Text Taxonomy and Classification Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In bing-copilot, end-to-end-framework, label-taxonomies, large-language-models, science fiction, taxonomy-generation, text-mining, tnt-llm
TnT-LLM: Automating Text Taxonomy Generation and Classification With Large Language Models Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In bing-copilot, end-to-end-framework, label-taxonomies, large-language-models, science fiction, taxonomy-generation, text-mining, tnt-llm
Batched Prompting for Efficient GPT-4 Annotatio Post date April 18, 2025 Post author By Language Models (dot tech) Post categories In ai-feedback-loops, ai-preference-optimization, contrastive-learning-ai, direct-nash-optimization, dno-algorithm, how-to-train-ai, llm-fine-tuning, rhlf-optimization
Understanding Concentrability in Direct Nash Optimization Post date April 17, 2025 Post author By Language Models (dot tech) Post categories In ai-feedback-loops, ai-preference-optimization, contrastive-learning-ai, direct-nash-optimization, dno-algorithm, how-to-train-ai, llm-fine-tuning, rhlf-optimization
Extending Direct Nash Optimization for Regularized Preferences Post date April 17, 2025 Post author By Language Models (dot tech) Post categories In ai-feedback-loops, ai-preference-optimization, contrastive-learning-ai, direct-nash-optimization, dno-algorithm, how-to-train-ai, llm-fine-tuning, rhlf-optimization
What Does the Future of AI Model Training Hold? Post date April 17, 2025 Post author By Language Models (dot tech) Post categories In ai-feedback-loops, ai-preference-optimization, contrastive-learning-ai, direct-nash-optimization, dno-algorithm, how-to-train-ai, llm-fine-tuning, rhlf-optimization
Exploring Cutting-Edge Approaches to Iterative LLM Fine Tuning Post date April 16, 2025 Post author By Language Models (dot tech) Post categories In ai-feedback-loops, ai-preference-optimization, contrastive-learning-ai, direct-nash-optimization, dno-algorithm, how-to-train-ai, llm-fine-tuning, rhlf-optimization
AI That Trains Itself? Here’s How it Works Post date April 16, 2025 Post author By Language Models (dot tech) Post categories In ai-feedback-loops, ai-preference-optimization, contrastive-learning-ai, direct-nash-optimization, dno-algorithm, how-to-train-ai, llm-fine-tuning, rhlf-optimization
Direct Nash Optimization Beats Bigger Models with Better Data Post date April 15, 2025 Post author By Language Models (dot tech) Post categories In ai-feedback-loops, ai-preference-optimization, contrastive-learning-ai, direct-nash-optimization, dno-algorithm, how-to-train-ai, llm-fine-tuning, rhlf-optimization
The Art of Arguing With Yourself—And Why It’s Making AI Smarter Post date April 15, 2025 Post author By Language Models (dot tech) Post categories In ai-feedback-loops, ai-preference-optimization, contrastive-learning-ai, direct-nash-optimization, hackernoon-top-story, how-to-train-ai, llm-fine-tuning, rhlf-optimization
Analyzing the Impact of Model Scaling on Long-Form Factuality Post date April 11, 2025 Post author By Language Models (dot tech) Post categories In automated-fact-checking, benchmarking-llms, deepmind-research, fact-checking-ai, long-form-factuality, longfact-prompt-set, model-evaluation-metrics, safe-ai-evaluation
Inside Jamba’s Architecture: Mamba Layers, MoE, and the Future of AI Models Post date April 10, 2025 Post author By Language Models (dot tech) Post categories In ai21-jamba-model, efficient-large-language-model, high-throughput-nlp, hybrid-language-models, long-context-llm, mixture-of-experts-(moe), state-space-model-mamba, transformer-mamba-architecture
256K Tokens on One GPU? Jamba’s Engineering Magic Explained Post date April 10, 2025 Post author By Language Models (dot tech) Post categories In ai21-jamba-model, efficient-large-language-model, high-throughput-nlp, hybrid-language-models, long-context-llm, mixture-of-experts-(moe), state-space-model-mamba, transformer-mamba-architecture
How Jamba Combines Transformers and Mamba to Build Smarter Language Models Post date April 10, 2025 Post author By Language Models (dot tech) Post categories In ai21-jamba-model, efficient-large-language-model, high-throughput-nlp, hybrid-language-models, long-context-llm, mixture-of-experts-(moe), state-space-model-mamba, transformer-mamba-architecture
Breaking Down Jamba: How Mixing Attention and State Spaces Makes a Smarter LLM Post date April 10, 2025 Post author By Language Models (dot tech) Post categories In efficient-large-language-model, high-throughput-nlp, hybrid-language-models, long-context-llm, mixture-of-experts-(moe), state-space-model-mamba, transformer-mamba-architecture
What Jamba’s Benchmark Wins Tell Us About the Power of Hybrid LLMs Post date April 10, 2025 Post author By Language Models (dot tech) Post categories In ai21-jamba-model, efficient-large-language-model, high-throughput-nlp, hybrid-language-models, long-context-llm, mixture-of-experts-(moe), state-space-model-mamba, transformer-mamba-architecture
Why Jamba Is the First Truly Scalable Hybrid LLM for Long Contexts Post date April 10, 2025 Post author By Language Models (dot tech) Post categories In ai21-jamba-model, efficient-large-language-model, high-throughput-nlp, hybrid-language-models, long-context-llm, mixture-of-experts-(moe), state-space-model-mamba, transformer-mamba-architecture
Benchmarking Long-Form Factuality in Large Language Models Post date April 9, 2025 Post author By Language Models (dot tech) Post categories In automated-fact-checking, benchmarking-llms, deepmind-research, fact-checking-ai, long-form-factuality, longfact-prompt-set, model-evaluation-metrics, safe-ai-evaluation
A Smarter Way to Check If AI Answers Are Correct Post date April 9, 2025 Post author By Language Models (dot tech) Post categories In automated-fact-checking, benchmarking-llms, deepmind-research, fact-checking-ai, long-form-factuality, longfact-prompt-set, model-evaluation-metrics, safe-ai-evaluation
GPT-4, Gemini-Ultra, and PaLM-2-L-IT-RLHF Top Long-Form Factuality Rankings Post date April 9, 2025 Post author By Language Models (dot tech) Post categories In ai-factuality-rankings, automated-fact-checking, benchmarking-llms, fact-checking-ai, long-form-factuality, longfact-prompt-set, model-evaluation-metrics, safe-ai-evaluation
Android Function Examples That You Should Know Post date April 9, 2025 Post author By Language Models (dot tech) Post categories In ai-agents-for-edge-devices, efficient-edge-computing, function-calling-models, lm-latency-models, low-latency-ai-inference, on-device-language-models, privacy-focused-ai-models, small-scale-ai-models
The Future of Octopus v2: What Does it Entail? Post date April 9, 2025 Post author By Language Models (dot tech) Post categories In ai-agents-for-edge-devices, efficient-edge-computing, function-calling-models, lm-latency-models, low-latency-ai-inference, on-device-language-models, privacy-focused-ai-models, small-scale-ai-models
Why LLMs Are More Accurate and Cost-Effective Than Human Fact-Checkers Post date April 8, 2025 Post author By Language Models (dot tech) Post categories In automated-fact-checking, benchmarking-llms, deepmind-research, fact-checking-ai, long-form-factuality, longfact-prompt-set, model-evaluation-metrics, safe-ai-evaluation
SAFE: A New AI Tool for Fact-Checking Long-Form Responses Post date April 8, 2025 Post author By Language Models (dot tech) Post categories In automated-fact-checking, benchmarking-llms, deepmind-research, fact-checking-ai, long-form-factuality, longfact-prompt-set, model-evaluation-metrics, safe-ai-evaluation
How LongFact Helps AI Models Improve Their Accuracy Across Multiple Topics Post date April 8, 2025 Post author By Language Models (dot tech) Post categories In automated-fact-checking, benchmarking-llms, deepmind-research, fact-checking-ai, long-form-factuality, longfact-prompt-set, model-evaluation-metrics, safe-ai-evaluation
The AI Truth Test: New Study Tests the Accuracy of 13 Major AI Models Post date April 8, 2025 Post author By Language Models (dot tech) Post categories In automated-fact-checking, benchmarking-llms, deepmind-research, fact-checking-ai, hackernoon-top-story, long-form-factuality, model-evaluation-metrics, safe-ai-evaluation
Detailing the Primary Methodology Implemented in Our Models: Octopus v2 Post date April 3, 2025 Post author By Language Models (dot tech) Post categories In ai-agents-for-edge-devices, efficient-edge-computing, function-calling-models, lm-latency-models, low-latency-ai-inference, on-device-language-models, privacy-focused-ai-models, small-scale-ai-models
Efficient On-Device LLMs: Function Calling and Fine-Tuning Strategies Post date April 3, 2025 Post author By Language Models (dot tech) Post categories In ai-agents-for-edge-devices, efficient-edge-computing, function-calling-models, lm-latency-models, low-latency-ai-inference, on-device-language-models, privacy-focused-ai-models, small-scale-ai-models
Octopus v2: An On-Device Language Model for Super Agent Post date April 1, 2025 Post author By Language Models (dot tech) Post categories In ai-agents-for-edge-devices, efficient-edge-computing, function-calling-models, llms, lm-latency-models, on-device-language-models, privacy-focused-ai-models, small-scale-ai-models
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