LLM News and Articles
Thursday, 2024-11-21 | ||||
04:26 | RAG: The Secret Ingredient to Superintelligent AI https://medium.com/@pasishailendra491/rag-the-secret-ingredient-to-superintelligent-ai-94803e3ce8f6 | |||
03:51 | Wave Network: An Ultra-Small Language Model https://arxiv.org/abs/2411.02674 | |||
03:51 | Ollama Chapter 2: API features, creating custom AI assistants, and using prompt templates… https://promptcase.medium.com/ollama-chapter-2-api-features-creating-custom-ai-assistants-and-using-prompt-templates-d375c4fa1ef4 | |||
03:44 | Large Language Models (LLMs): From Basics to Advanced Concepts https://medium.com/@sarthakupreti.upreti/large-language-models-llms-from-basics-to-advanced-concepts-c9b6c322731b | |||
03:26 | Multimodal RAG: Everything You Need to Know https://medium.com/@kanerika/multimodal-rag-everything-you-need-to-know-9d66ede284db | |||
03:23 | Paano Makakakuha ng Walang Kapantay na Access ang mga Developer ng AI sa X-Twitter Data https://medium.com/@rayne.1212.db/paano-makakakuha-ng-walang-kapantay-na-access-ang-mga-developer-ng-ai-sa-x-twitter-data-d4438bddc2bf | |||
03:17 | Top 25 Agentic AI Questions and Answers https://skphd.medium.com/interview-questions-and-answers-on-agentic-ai-9069ed148f3d | |||
03:06 | Practical RAG with AWS: A Developer’s Journey https://medium.com/@kksarda9/practical-rag-with-aws-a-developers-journey-eeef98fe89c2 | |||
02:46 | Cómo Diseñar Inteligencias Artificiales que Aprendan Valores Humanos Dinámicos: Un Análisis… https://medium.com/@jongon23/c%C3%B3mo-dise%C3%B1ar-inteligencias-artificiales-que-aprendan-valores-humanos-din%C3%A1micos-un-an%C3%A1lisis-2f7f22471c5b | |||
02:02 | Beyond Text: How Code Generation is Unlocking the Next Frontier in AI Visual Intelligence https://timothy-urista.medium.com/beyond-text-how-code-generation-is-unlocking-the-next-frontier-in-ai-visual-intelligence-025747598c7c | |||
00:42 | Langflow 1.1 Release https://medium.com/logspace/langflow-1-1-release-b6df2f8189a6 | |||
00:21 | Simplifying Retrieval Augmented Generation (RAG) With Watsonx.ai Flows Engine https://medium.com/ibm-data-ai/simplifying-retrieval-augmented-generation-rag-with-watsonx-ai-flows-engine-aef2187d3b68 | |||
00:03 | Concepts and Technical Details of LLMs https://medium.com/@josueluislapa/concepts-and-technical-details-of-llms-4d27ceb58266 | |||
Wednesday, 2024-11-20 | ||||
23:30 | DeepSeek R1-Lite-Preview : l’open source dépasse déjà OpenAI o1-preview https://jeremyjouvance.medium.com/deepseek-r1-lite-preview-lopen-source-d%C3%A9passe-d%C3%A9j%C3%A0-openai-o1-preview-70c8a426422a | |||
23:02 | DSPy: Venture Into Automatic Prompt Optimization https://pub.towardsai.net/dspy-venture-into-automatic-prompt-optimization-d37b892091be | |||
22:39 | Tikos Reasoning: A Case Study https://medium.com/tikos-tech/tikos-reasoning-a-case-study-84caa839cad8 | |||
22:05 | Not Can, but SHOULD AI Model Human Behavior? https://medium.com/@ryan.elmore/not-can-but-should-ai-model-human-behavior-6cc824821431 | |||
22:03 | Exploring Alani AI and ChatGPT Enterprise: Which Platform Fits Your Needs? https://bundleiq.medium.com/exploring-alani-ai-and-chatgpt-enterprise-which-platform-fits-your-needs-7ba780a67804 | |||
22:02 | MultiModal RAG Unveiled: A Deep Dive into Cutting-Edge Advancements https://pub.towardsai.net/multimodal-rag-unveiled-a-deep-dive-into-cutting-edge-advancements-0eeb514c3ac4 | |||
21:28 | Are We Hitting The Scaling Limits Of AI? https://medium.com/@thethoughtpalette/are-we-hitting-the-scaling-limits-of-ai-a46f98cf79c1 | |||
21:27 | Harnessing AI Agents: Practical Applications and Development Insights https://medium.com/@siddharthc96/harnessing-ai-agents-practical-applications-and-development-insights-db3df03c15bb | |||
21:13 | Improving LLM Agent Quality with Code Generation and RAG https://medium.com/@alirahmanianaraki99/improving-llm-agent-quality-with-code-generation-and-rag-db329b5d9f11 | |||
21:10 | Chinese lab DeepSeek releases a 'reasoning' AI model that rivals OpenAI's o1 https://techcrunch.com/2024/11/20/a-chinese-lab-has-released-a-model-to-rival-openais-o1/ | |||
20:54 | LLaVA-o1 https://cobusgreyling.medium.com/llava-o1-a32f261743a2 | |||
20:28 | AI chatbots did not “defeat” doctors at diagnosing illness https://rachel-draelos.medium.com/ai-chatbots-did-not-defeat-doctors-at-diagnosing-illness-b42e76c6f652 | |||
20:04 | AI-Powered Sales: Key Tactics to Empower Sellers https://medium.com/@ayandutta/sales-reps-on-the-front-line-have-been-underserved-f3e5112e6f4a | |||
19:48 | Converge Bio Raises .5M to Build a Unified Hub for Biotech LLMs https://media.biopharmatrend.com/converge-bio-raises-5-5m-to-build-a-unified-hub-for-biotech-llms-72ddd40347e3 | |||
19:15 | How ChatGPT works, In Layman’s terms[38 Before 38] https://medium.com/@muddi900/how-chatgpt-works-in-laymans-terms-38-before-38-0af0a1699eab | |||
18:33 | Enhancing LLM Accuracy with Monte Carlo Tree Search and Its Variant MCT Self-Refine https://medium.com/@lipeijin0405_41840/enhancing-llm-accuracy-with-monte-carlo-tree-search-and-its-variant-mct-self-refine-9a55b9b482dc | |||
18:07 | Simple Yet Mind-Blowing Python AI Projects: https://python.plainenglish.io/simple-yet-mind-blowing-python-ai-projects-985e9d11c49a | |||
18:02 | GPT-4o Got an Update https://twitter.com/OpenAI/status/1859296125947347164 | |||
18:00 | Building a Research Assistant That Can Write to Google Docs (Part 2) https://towardsdatascience.com/building-a-research-assistant-that-can-write-to-google-docs-part-2-ac9dcacff4ff | |||
17:50 | MemGPT: The Next-Generation AI https://medium.com/@nishant.sinha02/memgpt-the-next-generation-ai-9d15db85b23d | |||
17:48 | AI Concepts 101: Beginner friendly AI concepts to deep dive into the LLM https://medium.com/@sankalpkokare21/ai-concepts-101-beginner-friendly-ai-concepts-to-deep-dive-into-the-llm-620bcda38c4f | |||
17:38 | MemGPT: Towards LLMs as Operating Systems https://medium.com/@avinashbarnwal123/memgpt-towards-llms-as-operating-systems-bd05b809d21a | |||
17:38 | Prompting vs Finetuning in Generative AI https://medium.com/@vikashsinghy2k/prompting-vs-finetuning-in-generative-ai-d06ff203c1df | |||
17:08 | Mind Your Manners: How Politeness Can Make AI Smarter https://medium.com/mindsdb/mind-your-manners-how-politeness-can-make-ai-smarter-3b44858aeedc | |||
16:58 | Mastering AI Patterns: Architectures, Knowledge Systems, and Multi-Agent Approaches https://blog.whiteprompt.com/mastering-ai-patterns-architectures-knowledge-systems-and-multi-agent-approaches-386064c4bc5a | |||
16:41 | Embeddings and Vector Stores https://medium.com/@asjadsohail/embeddings-and-vector-stores-9053fc0c390c | |||
16:32 | Are ChatGPT or Claude Better Than Playwright Codegen? https://www.checklyhq.com/blog/chatgpt-vs-playwright-codegen/ | |||
16:32 | Real-World Applications of AI Agents https://medium.com/@santoshpandey987/real-world-applications-of-ai-agents-80513546810f | |||
16:15 | From Local to Global: A Graph RAG Approach to Query-Focused Summarization — Paper Review https://medium.com/@sulbha.jindal/from-local-to-global-a-graph-rag-approach-to-query-focused-summarization-paper-review-09be5bc3ee5c | |||
16:11 | Technical Insights on Multi-Agent Systems and Autonomous AI https://medium.com/@openservai/technical-insights-on-multi-agent-systems-and-autonomous-ai-4d2db88ccc08 | |||
15:58 | DeepSeek Introduces DeepSeek-R1-Lite-Preview with Complete Reasoning Outputs Matching OpenAI o1 https://www.marktechpost.com/2024/11/20/deepseek-introduces-deepseek-r1-lite-preview-with-complete-reasoning-outputs-matching-openai-o1/ | |||
15:48 | Why AI Projects Fail — and How Monitoring Can Turn the Tide https://medium.com/@gfcristhian98/why-ai-projects-fail-and-how-monitoring-can-turn-the-tide-fded72e5cf0e | |||
15:23 | Implementing Attention Mechanisms with Python and Julia https://atantos.medium.com/implementing-attention-mechanisms-with-python-and-julia-f453c2728364 | |||
15:19 | Offline Intelligence: Your Personal, Fully Local AI Companion https://azaddjan.medium.com/offline-intelligence-your-personal-fully-local-ai-companion-f1c1f1343e42 | |||
15:16 | 5 open sourced models that you can try now https://tuewithmorris.medium.com/5-open-sourced-models-that-you-can-try-now-801051f1e232 | |||
15:07 | Becoming the Commander of AI: How I Manage a Team of AI Agents https://medium.com/@enliveningmind/becoming-the-commander-of-ai-how-i-manage-a-team-of-ai-agents-2d9a50ad33aa | |||
15:06 | Choosing the Right Optimization: Prompt Engineering, RAG, and Fine-Tuning https://mehmetozkaya.medium.com/choosing-the-right-optimization-prompt-engineering-rag-and-fine-tuning-99f54c3baf04 | |||
15:02 | What is a 6G Digital Twin with GenAI? https://dhirajpatra.medium.com/what-is-a-6g-digital-twin-with-genai-465d08656dc0 | |||
14:51 | Designing E-Shop Customer Support Using Fine-Tuning https://mehmetozkaya.medium.com/designing-e-shop-customer-support-using-fine-tuning-79e9178ba812 | |||
14:50 | 10 Business Benefits of Small Language Models (SLMs) https://medium.com/coinmonks/10-business-benefits-of-small-language-models-slms-ed36c9afe73e | |||
14:45 | WestWorld Tried to Warn US https://medium.com/@fractionai/westworld-tried-to-warn-us-938a76340193 | |||
13:44 | A Beginner’s Guide to Prompt Engineering using Gemini API — Part I https://medium.com/@theipocmwanderer/a-beginners-guide-to-prompt-engineering-using-gemini-api-part-i-d3a4b1c873c6 | |||
12:48 | Future of Language Learning with LLMs https://medium.com/@ayothiiyar/future-of-language-learning-with-llms-532b7b6993af | |||
12:37 | From embeddings to transformers, how Large Language Models (LLMs) work? https://medium.com/@DanielH_Takes/from-embeddings-to-transformers-how-large-language-models-llms-work-aa9acece2476 | |||
12:24 | Understanding AI Text Generators: How to Get Started and Beyond https://ai.gopubby.com/understanding-ai-text-generators-how-to-get-started-and-beyond-53af7e630bbe | |||
12:22 | Designing E-Shop Customer Support Using RAG https://mehmetozkaya.medium.com/designing-e-shop-customer-support-using-rag-2f2ba8a760d6 | |||
12:11 | Event-Driven AI: Building a Research Assistant with Kafka and Flink https://seanfalconer.medium.com/event-driven-ai-building-a-research-assistant-with-kafka-and-flink-e95db47eb3f3 | |||
12:06 | Anthropic’s Claude 3.5 Computer Use Framework (AI Agent) https://cobusgreyling.medium.com/anthropics-claude-3-5-computer-use-framework-ai-agent-6b3c48dac410 | |||
12:04 | E2E Workflow of a Retrieval-Augmented Generation (RAG) https://mehmetozkaya.medium.com/e2e-workflow-of-a-retrieval-augmented-generation-rag-611b34ba65bd | |||
12:02 | Apple: LLMs CANNOT Reason https://pub.towardsai.net/apple-llms-cannot-reason-acdaeab9b796 | |||
11:55 | Understanding the Depth of Foundational Large Language Models & Text Generation https://medium.com/@mshayan38/understanding-the-depth-of-foundational-large-language-models-text-generation-e5d176083b85 | |||
11:52 | The RAG Architecture: Ingestion and Retrieval with Embeddings and Vector Search https://mehmetozkaya.medium.com/the-rag-architecture-ingestion-and-retrieval-with-embeddings-and-vector-search-9bb86adb0ff5 | |||
11:46 | Learn This, and You’ll Know 90% of What Matters in AI Today https://blog.axioma-ai.com/learn-this-and-youll-know-90-of-what-matters-in-ai-today-41eee64fd7de | |||
11:26 | How Does Retrieval-Augmented Generation (RAG) Work? https://mehmetozkaya.medium.com/how-does-retrieval-augmented-generation-rag-work-7606d19a82e6 | |||
11:19 | ¿Cómo puede la IA entender tantos idiomas y formatos al mismo tiempo? https://medium.com/@sergiosear/c%C3%B3mo-puede-la-ia-entender-tantos-idiomas-y-formatos-al-mismo-tiempo-ad9e10b07c3e | |||
11:08 | Introduction to LLM Agents and Langchain: A Comprehensive Guide https://medium.com/@NimitKothari/introduction-to-llm-agents-and-langchain-a-comprehensive-guide-511269bc65e9 | |||
11:03 | Use these simple steps to get better results from ChatGPT https://medium.com/@ayondanuska/use-these-simple-steps-to-get-better-results-from-chatgpt-268bd5e38bf7 | |||
11:00 | What is Retrieval-Augmented Generation (RAG)? https://mehmetozkaya.medium.com/what-is-retrieval-augmented-generation-rag-9c24b801151b | |||
10:40 | LLMs Augmentation Flow: From Prompt Engineering to Trained Models https://mehmetozkaya.medium.com/llms-augmentation-flow-from-prompt-engineering-to-trained-models-5c006a78f089 | |||
10:28 | Transformers for Dummies: Multi-Headed Attention https://medium.com/womenintechnology/transformers-for-dummies-multi-headed-attention-7a00e1b75381 | |||
10:25 | Interprétabilité des LLMs : le rôle des Sparse Autoencoders https://medium.com/@aqsone/interpr%C3%A9tabilit%C3%A9-des-llms-le-r%C3%B4le-des-sparse-autoencoders-b17deb86cdf2 | |||
10:17 | Designing the ‘EShop Support App’ with AI-Powered LLM Capabilities https://mehmetozkaya.medium.com/designing-the-eshop-support-app-with-ai-powered-llm-capabilities-d4aff0e68f46 | |||
10:17 | LLMOS: Revolutionizing Operating Systems with Large Language Models https://medium.com/@lucien1999s.pro/llmos-revolutionizing-operating-systems-with-large-language-models-86ff61a714a4 | |||
10:08 | Two-minutes Generative AI — When will LLMs run out of training data? https://medium.com/nlplanet/two-minutes-generative-ai-when-will-llms-run-out-of-training-data-ff151dfb8410 | |||
09:55 | Foundations of Large Language Models (LLMs) https://medium.com/@mshayan38/foundations-of-large-language-models-llms-d8b536c3effc | |||
09:07 | Show HN: Langrocks – tools like computer access, browser etc., for LLM agents https://github.com/langrocks/langrocks | |||
08:43 | Chatting it Up: How MyHer’s AI Companion Brings a New Friend to Your Digital Life https://medium.com/@samneither/chatting-it-up-how-myhers-ai-companion-brings-a-new-friend-to-your-digital-life-b39da0e40e04 | |||
08:27 | Multi-Agent Orchestrator for Managing AI Agents on Amazon Web Services (AWS) https://ajay-arunachalam08.medium.com/multi-agent-orchestrator-for-managing-ai-agents-on-amazon-web-services-aws-9d91c7a2c29b | |||
08:22 | The Future of Operating Systems: When AI Becomes the Interface https://medium.com/@michalskibinski109/the-future-of-operating-systems-when-ai-becomes-the-interface-c6c3eeecfb26 | |||
07:40 | JSON vs YAML function calling Finetuning comparison https://athekunal.medium.com/json-vs-yaml-function-calling-finetuning-comparison-25e97767cc5d | |||
07:13 | Can we measure AI sentience? https://medium.com/@graham.wallington/can-we-measure-ai-sentience-34a38295a5fe | |||
07:07 | Perplexity Reinvented: Advanced AI Citations That Build Trust https://snrspeaks.medium.com/perplexity-reinvented-advanced-ai-citations-that-build-trust-32c2e2dd9cc0 | |||
07:04 | Retrieval-Augmented Generation (RAG) Based Chatbots https://mvsagar.medium.com/retrieval-augmented-generation-rag-based-chatbots-f04a73bc2fa0 | |||
07:02 | Hugging Face: The GitHub of Machine Learning Models https://mehmetozkaya.medium.com/hugging-face-the-github-of-machine-learning-models-1783fb9b74fc | |||
06:53 | Open Source vs. Proprietary Models: Making the Right Choice for Your AI Projects https://mehmetozkaya.medium.com/open-source-vs-proprietary-models-making-the-right-choice-for-your-ai-projects-bdfb9f509dd7 | |||
06:43 | How to Choose LLM Models: Balancing Quality, Speed, Price, Latency, and Context Window https://mehmetozkaya.medium.com/how-to-choose-llm-models-balancing-quality-speed-price-latency-and-context-window-c6c2bcf0f296 | |||
06:13 | Understanding Various Language Models in Deep Learning: A Comprehensive Guide https://medium.com/@archangelmiko/understanding-various-language-models-in-deep-learning-a-comprehensive-guide-2bdd77797959 | |||
05:57 | RAG Series Part 3: Corrective RAG https://medium.com/@jalajagr/corrective-rag-part-3-de82c96a0561 | |||
05:43 | Exploring Small Language Models (SLMs): A Dive into Scaled-Down AI Models https://mehmetozkaya.medium.com/exploring-small-language-models-slms-a-dive-into-scaled-down-ai-models-1d7e420385c8 | |||
05:31 | Running qwen2.5-coder-32b with Ollama and Ngrok in Google Colab: A Step-by-Step Guide https://medium.com/@TheRealFREDP3D/running-qwen2-5-coder-32b-with-ollama-and-ngrok-in-google-colab-a-step-by-step-guide-69898d681a82 | |||
04:55 | Simulating a Group Discussion Using AI Agents https://medium.com/@satish-0612/simulating-a-group-discussion-using-ai-agents-117fada51935 | |||
04:32 | Why I think LLMs actually know when they’re lying https://medium.com/@nikhilanandnj/why-i-think-llms-actually-know-when-theyre-lying-7acc35c1ef41 | |||
03:32 | Google’s New Gemini LLM Model Redefines AI Excellence https://medium.com/@sareena18/googles-new-gemini-llm-model-redefines-ai-excellence-077458a46144 | |||
03:13 | Hallucinations in LLMs: Unveiling the Causes and Crafting Solutions https://medium.com/ai-enthusiast/hallucinations-in-llms-unveiling-the-causes-and-crafting-solutions-f7cb2c1fc277 | |||
03:00 | ChatGPT Web search are not properly grounded and accurate https://chatgpt.com/share/673d5043-cf90-800e-98f0-1ef4963c6baf | |||
02:41 | Emergent Abilities in LLMs: Unlocking the Uncharted Potential of AI https://medium.com/ai-enthusiast/emergent-abilities-in-llms-unlocking-the-uncharted-potential-of-ai-377cceed7edc | |||
02:22 | Get a Limitless AI ChatGPT — How to Install Ollama and Open-webgui Without Docker https://medium.com/@ed-roof-maker/get-a-limitless-ai-chatgpt-how-to-install-ollama-and-open-webgui-without-docker-1acca9b9fa1c |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110