LLM News and Articles
| Wednesday, 2024-08-28 | ||||
| 11:25 | Long context prompting tips by Anthropic https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/long-context-tips | |||
| 11:20 | Show HN: PromptMage – Simplify and Manage Your LLM Workflows https://promptmage.io/ | |||
| 11:16 | Automating Table of Content Extraction and Filtering in Papers with LlamaIndex (Part 2) https://blog.stackademic.com/automating-table-of-content-extraction-and-filtering-in-papers-with-llamaindex-part-2-9975e42636fd | |||
| 11:08 | SarcasmBench: A Comprehensive Evaluation Framework Revealing the Challenges and Performance Gaps of Large Language Models in Understanding Subtle Sarcastic Expressions https://www.marktechpost.com/2024/08/28/sarcasmbench-a-comprehensive-evaluation-framework-revealing-the-challenges-and-performance-gaps-of-large-language-models-in-understanding-subtle-sarcastic-expressions/ | |||
| 11:07 | PHP and LLMs — Web Scraping and Building an Events Database https://alnutile.medium.com/php-and-llms-web-scraping-and-building-an-events-database-f2f8fe1b3f5d | |||
| 11:06 | OpenAI Aims to Release New AI Model, 'Strawberry,' in Fall https://www.pymnts.com/news/artificial-intelligence/2024/openai-aims-release-new-ai-model-strawberry-fall/ | |||
| 10:45 | Building a Q&A Bot Using Your Website and Files — Part 1 (Extracting the Content) https://medium.com/@arjun_g/building-a-q-a-bot-using-your-website-and-files-part-1-extracting-the-content-e13f44f13829 | |||
| 09:47 | Leveraging AI Tools to Enhance Education: Top 10 AI Solutions https://medium.com/@cahimanshukumar/leveraging-ai-tools-to-enhance-education-top-10-ai-solutions-d8d4020af6e7 | |||
| 09:45 | Is Your SQL Database Safe? How LLM Integration Could Put Everything At Risk https://medium.com/@veritysystems/is-your-sql-database-safe-how-llm-integration-could-put-everything-at-risk-549c90235f71 | |||
| 09:26 | Harnessing LLMs for Automated Timeline Generation https://medium.com/@manaranjanp/harnessing-llms-for-automated-timeline-generation-a3e917cc73d3 | |||
| 09:17 | Threat Intelligence Report Summarization https://medium.com/reversinglabs-engineering/threat-intelligence-report-summarization-abc57096e6b5 | |||
| 09:07 | Harnessing AI for Intelligent Q&A Generation: A Deep Dive into CrewAI https://medium.com/@manaranjanp/harnessing-ai-for-intelligent-q-a-generation-a-deep-dive-into-crewai-97540e7e4f3f | |||
| 08:54 | Optimizing RAG for Production: Leveraging Filtering and Reranking for Better Performance https://bhavyabarri.medium.com/optimizing-rag-for-production-leveraging-filtering-and-reranking-for-better-performance-da8e16a20453 | |||
| 08:50 | AI Powered Document Summarization https://medium.com/@manaranjanp/ai-powered-document-summarization-02dda4e6681a | |||
| 08:43 | Using an LLM for sorting a list with linear time https://itnext.io/using-an-llm-for-sorting-a-list-with-linear-time-5d72e4bdd5bc | |||
| 08:34 | OpenAI shows 'Strawberry' to feds, races to launch it https://www.lesswrong.com/posts/8oX4FTRa8MJodArhj/the-information-openai-shows-strawberry-to-feds-races-to | |||
| 08:14 | From Context to Cognition: Advanced Prompting Strategies for Agentic AI https://medium.com/@ssuparnataneja/from-context-to-cognition-advanced-prompting-strategies-for-agentic-ai-7b96d11c53ec | |||
| 07:56 | Options to Deploy Your LLM (in increasing complexity): https://medium.com/@mirzasamaddanat/options-to-deploy-your-llm-in-increasing-complexity-4892a677d46c | |||
| 07:52 | Karpathy on Software 2.0 (2017) https://karpathy.medium.com/software-2-0-a64152b37c35 | |||
| 07:43 | The Great AI Debate: LLM Company Cloned Trump and Harris and Made Them Fight https://www.humains.com/blog/the-great-ai-debate:-our-journey-to-pit-digital-trump-against-digital-harris | |||
| 07:29 | Revolutionizing Retail with AI Magic https://dirk-schmidt.medium.com/revolutionizing-retail-with-ai-magic-44627cee272e | |||
| 07:04 | Retrieval Augmented Generation (RAG) Systems https://medium.com/@sheharyarakhtar/retrieval-augmented-generation-rag-systems-3d3d6472d20d | |||
| 07:04 | Retrieval Augmented Generation (RAG) Systems https://blog.gopenai.com/retrieval-augmented-generation-rag-systems-3d3d6472d20d | |||
| 06:51 | How to build an LLM Agent for Sales? https://medium.com/ionio-ai/how-to-build-an-llm-agent-for-sales-e2daf6b689ae | |||
| 06:38 | What makes document search hard? https://medium.com/spxfiva-data-science/what-makes-document-search-hard-2225107e2bda | |||
| 06:27 | A Comprehensive Guide to Fine-tuning LLMs using RLHF (Part-2) https://medium.com/ionio-ai/a-comprehensive-guide-to-fine-tuning-llms-using-rlhf-part-2-445ccab85278 | |||
| 06:27 | Building a Database-Driven Chatbot with LangChain and OpenAI: A Practical Approach (Part 2… https://medium.com/@mathewspious/building-a-database-driven-chatbot-with-langchain-and-openai-a-practical-approach-part-2-6a279622f0fc | |||
| 06:22 | The 6 Best LLM Tools To Run Models Locally https://medium.com/@amosgyamfi/the-6-best-llm-tools-to-run-models-locally-eedd0f7c2bbd | |||
| 06:17 | An Ultimate Guide to Embeddings and Vectors: Code Included https://medium.com/ionio-ai/an-ultimate-guide-to-embeddings-and-vectors-code-included-4b66ff3e3009 | |||
| 06:11 | How to Train Your Language Model (In a single day with one GPU): Cramming https://medium.com/ionio-ai/how-to-train-your-language-model-in-a-single-day-with-one-gpu-cramming-0d0fee1a6a5b | |||
| 06:07 | Layman’s guide to getting what you want with LLMs: INTERS (Part-1) https://medium.com/ionio-ai/laymans-guide-to-getting-what-you-want-with-llms-inters-part-1-0d98edd4e438 | |||
| 06:01 | A Comprehensive Guide to fine-tuning LLMs using RLHF (Part-1) https://medium.com/ionio-ai/a-comprehensive-guide-to-fine-tuning-llms-using-rlhf-part-1-a7bfb592728c | |||
| 05:44 | Enforcing JSON outputs in commercial LLMs https://towardsdatascience.com/enforcing-json-outputs-in-commercial-llms-3db590b9b3c8 | |||
| 05:32 | Why Creating Your Large Language Model (LLM) Using PHP is a Bad Idea and How PHP Could Be… https://medium.com/@nazarboyko/why-creating-your-large-language-model-llm-using-php-is-a-bad-idea-and-how-php-could-be-6887d10ccf62 | |||
| 05:32 | RAG II: Query Transformations https://medium.com/@sulaiman.shamasna/rag-ii-query-transformations-49865bb0528c | |||
| 05:24 | A Comprehensive Guide to Types of Neural Network Architectures https://medium.com/@ramachandran1985/a-comprehensive-guide-to-types-of-neural-network-architectures-5ab7d61b66e8 | |||
| 05:04 | Will Function(RoutingAgent) Calling architecture replace Intent Classification? https://abhiai.medium.com/will-function-routingagent-calling-architecture-replace-intent-classification-663338e52c2b | |||
| 05:01 | Are You Afraid of Artificial Intelligence? https://brianlmay.medium.com/are-you-afraid-of-artificial-intelligence-72ffa79ffbe9 | |||
| 04:38 | How to Build AI Agents from Scratch with Python https://medium.com/@samarrana407/how-to-build-ai-agents-from-scratch-with-python-844bb56bbe0c | |||
| 04:34 | AI: Reality Check https://medium.com/@marcnealer/ai-reality-check-367deabaacab | |||
| 04:32 | Spamming "Hi" at Every LLM https://twitter.com/zswitten/status/1826771850531356811 | |||
| 04:32 | Humans, Large Language Models, and Lucky Number 7 https://towardsdatascience.com/humans-large-language-models-and-lucky-number-7-f09248400cc9 | |||
| 04:12 | Creating Dynamic Mindmap of information from collaborative discourse among LLM Agents with… https://medium.com/@techsachin/creating-dynamic-mindmap-of-information-from-collaborative-discourse-among-llm-agents-with-d2e3f39c4728 | |||
| 03:59 | Enhancing Data Ingestion Testing with Generative AI: Leveraging LLM Models(part 2-Practice) https://medium.com/@phoxtittan/enhancing-data-ingestion-testing-with-generative-ai-leveraging-llm-models-part-2-practice-ec285780371c | |||
| 03:08 | Unlocking the Power of PDFs https://daniellehonn.medium.com/unlocking-the-power-of-pdfs-c5f1a2bcd013 | |||
| 02:54 | Mappify: Because Our Thoughts Don’t Travel in Straight Lines https://medium.com/@liujianaaron/mappify-because-our-thoughts-dont-travel-in-straight-lines-5a0dc9e0765d | |||
| 02:53 | LLMs for Operational Efficiency https://kimberly-mcmanus.medium.com/llms-for-operational-efficiency-5c15ccb56fb3 | |||
| 02:25 | I build this modern Tic-Tac-Toe with AI in 5 minutes https://generativeai.pub/i-build-this-modern-tic-tac-toe-with-ai-in-5-minutes-4166dd30e6e1 | |||
| 02:24 | LongWriter: The Next Frontier in LLMs — Unleashing 10,000+ Word Generation! https://generativeai.pub/longwriter-the-next-frontier-in-llms-unleashing-10-000-word-generation-f35d90bb1d46 | |||
| 02:01 | Want to Chat with Documents Locally? Try This Open Source RAG Tool (Kotaemon) https://towards-agi.medium.com/want-to-chat-with-documents-locally-try-this-open-source-rag-tool-kotaemon-4fc9483569fa | |||
| 01:57 | Altman-backed startup to test AV mass transit system in Atlanta https://www.semafor.com/article/08/23/2024/altman-backed-startup-to-test-av-mass-transit-system-in-atlanta | |||
| 01:53 | Google’s Gemini-1.5-Pro 0827 Is Better Than GPT-4o and Claude 3.5 Sonnet Now https://towards-agi.medium.com/googles-gemini-1-5-pro-0827-is-better-than-gpt-4o-and-claude-3-5-sonnet-now-47058209e75e | |||
| 01:33 | Gemini 1.5 Flash-8B: Google’s Answer to GPT-4o-Mini Alternative? https://towards-agi.medium.com/gemini-1-5-flash-8b-googles-answer-to-gpt-4o-mini-alternative-d6be12a8ade0 | |||
| 01:31 | AI Coming Soon in 2025: An In-Depth Report https://medium.com/@romin991/ai-coming-soon-in-2025-an-in-depth-report-f97fe79cd3e6 | |||
| 00:35 | Cerebras Launches the Fastest AI Inference https://cerebras.ai/press-release/cerebras-launches-the-worlds-fastest-ai-inference | |||
| 00:27 | Understanding Vulnerabilities in LLM https://medium.com/@nikitaa.rajan.25/understanding-vulnerabilities-in-llm-db0beabbf897 | |||
| Tuesday, 2024-08-27 | ||||
| 23:56 | Beyond Basic RAG: Similarity ≠ Relevance https://medium.com/logspace/beyond-basic-rag-similarity-relevance-fdbd16373d4a | |||
| 23:53 | Boosting LLM Inference Speed Using Speculative Decoding https://towardsdatascience.com/boosting-llm-inference-speed-using-speculative-decoding-0cb0bf36d001 | |||
| 23:33 | Turning Heated Debates into LOLs: The Making of WhatsApp Sentinel https://medium.com/@mordechaiworch/turning-heated-debates-into-lols-the-making-of-whatsapp-sentinel-506550b84901 | |||
| 23:31 | What *is* ChatGPT if it's not a chatbot? https://omarshehata.substack.com/p/what-exactly-is-chatgpt-if-its-not | |||
| 23:25 | Introduction to LLMs and the generative AI : Part 4 — Parameter efficient fine-tuning (PEFT) https://medium.com/@yash9439/introduction-to-llms-and-the-generative-ai-part-4-parameter-efficient-fine-tuning-peft-83c6dd039787 | |||
| 22:15 | OpenAI Shows 'Strawberry' AI to the Feds and Uses It to Develop 'Orion' https://old.reddit.com/r/singularity/s/XS90fbaZ49 | |||
| 22:03 | Enhancing AI performance using RAG architectures: The Art of Chunking https://medium.com/@odhitom09/enhancing-ai-performance-using-rag-architectures-the-art-of-chunking-notion-e8563fde3e33 | |||
| 21:19 | Law Meets AI: A Deep Dive into LawLLM’s Potential in Legal Research https://medium.com/@iamgokul93/law-meets-ai-a-deep-dive-into-lawllms-potential-in-legal-research-1d4180dba848 | |||
| 21:00 | Unit Economics of LLM APIs https://www.lesswrong.com/posts/SJESBW9ezhT663Sjd/unit-economics-of-llm-apis | |||
| 20:46 | Create a x.com search chrome extension without writing code (yourself) https://medium.com/@j.gerritsen/create-a-x-com-search-chrome-extension-without-writing-code-yourself-dd811fcd49f3 | |||
| 20:42 | Researchers from Oxford University are introducing a novel graph-based Retrieval-Augmented… https://medium.com/@martihns24/researchers-from-oxford-university-introduce-a-novel-graph-based-retrieval-augmented-generation-eb24bbe6f986 | |||
| 19:13 | Unlocking Knowledge: How AI Revolutionized My Learning Process https://medium.com/poatek/unlocking-knowledge-how-ai-revolutionized-my-learning-process-0a7c0c5432c5 | |||
| 19:12 | The Evolution of Transformers: A Journey Through the Milestones of Language Models https://medium.com/@asimsultan2/the-evolution-of-transformers-a-journey-through-the-milestones-of-language-models-f4e8980c08f9 | |||
| 19:10 | Meta Llama 3 : Your 5-Step Guide to Google Colab Setup https://medium.com/@venkiperfect/meta-llama-3-your-5-step-guide-to-google-colab-setup-edfd77f7054e | |||
| 19:03 | A PHP dev’s dream: An AI home that really gets you https://butschster.medium.com/a-php-devs-dream-an-ai-home-that-really-gets-you-dd97ae2ca0b0 | |||
| 19:00 | LMStudio 0.3 chat with documents new feature. Use case with the new Hermes 3 — Llama-3.1 8B https://medium.com/@omkamal/lmstudio-0-3-chat-with-documents-new-feature-use-case-with-the-new-hermes-3-llama-3-1-8b-7aa8d31834c5 | |||
| 18:53 | Retrieval-Augmented Generation (RAG): Components and Workflow Explained https://medium.com/@ramachandran1985/retrieval-augmented-generation-rag-components-and-workflow-explained-f3231fb9063b | |||
| 18:35 | Can You Train AI Models on CPUs? How Many Would You Need? https://medium.com/@GPUnet/can-you-train-ai-models-on-cpus-how-many-would-you-need-06b677950ffc | |||
| 18:05 | AI 3 body problem — number one https://ai.gopubby.com/ai-3-body-problem-number-one-1463357ad634 | |||
| 18:02 | Stateful and Responsible AI Agents https://ai.gopubby.com/stateful-and-responsible-ai-agents-7af386268554 | |||
| 17:43 | LLM APIs for Document Data Extraction https://nanonets.com/blog/best-llm-apis-for-document-data-extraction/ | |||
| 17:41 | The Truth About LLMs: Why They’re Not as Smart as You Think https://medium.com/@peterfranza/the-truth-about-llms-why-theyre-not-as-smart-as-you-think-492122d3ddae | |||
| 17:36 | Chunking Strategies — How to Choose the Right Chunking Method for My RAG Pipeline https://medium.com/@ignacioperezzv/chunking-strategies-how-to-choose-the-right-chunking-method-for-my-rag-pipeline-25171417fb2b | |||
| 17:34 | MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Models (MLLMs) https://www.marktechpost.com/2024/08/27/maven-an-effective-multi-granularity-hybrid-visual-encoding-framework-for-multimodal-large-language-models-mllms/ | |||
| 17:12 | Azure ML — End to end Building and Deploying ML Models https://medium.com/@nayan.j.paul/azure-ml-end-to-end-building-and-deploying-ml-models-c38c10afec64 | |||
| 16:58 | Building “Vishay”: Reference Enabled Chatbot using Langchain and Gemini https://theshresthshukla.medium.com/building-vishay-reference-enabled-chatbot-using-langchain-and-gemini-49897e828d37 | |||
| 16:55 | Mastering Celery-Redis Queue Setup: Insights from a UC Berkeley LLM Project https://medium.com/@sooryanarayan_5231/mastering-celery-redis-queue-setup-insights-from-a-uc-berkeley-llm-project-a3cfe344eebf | |||
| 16:53 | How Anthropic built Artifacts https://newsletter.pragmaticengineer.com/p/how-anthropic-built-artifacts | |||
| 16:49 | Cerebras Inference: AI at Instant Speed https://cerebras.ai/blog/introducing-cerebras-inference-ai-at-instant-speed | |||
| 16:48 | Cerebras Inference https://twitter.com/CerebrasSystems/status/1828464491677524311 | |||
| 16:42 | Cerebras launches inference for Llama 3.1; benchmarked at 1846 tokens/s on 8B https://twitter.com/ArtificialAnlys/status/1828463912389402896 | |||
| 16:40 | Agentic AI: Part 3 https://medium.com/cyberfront-ai/agentic-ai-part-3-ac3e8c1a0db3 | |||
| 16:36 | Influencing a Large Language Model response with in-context learning. https://levelup.gitconnected.com/influencing-a-large-language-model-response-with-in-context-learning-b212f0eaa113 | |||
| 16:34 | Half of AGI safety researchers have left OpenAI https://archive.is/2024.08.26-203127/https://fortune.com/2024/08/26/openai-agi-safety-researchers-exodus/ | |||
| 16:33 | Cerebras Launches the Fastest AI Inference https://inference.cerebras.ai/ | |||
| 16:31 | LLM Study Diary: Decoding LangChain’s Official Multimodal RAG Sample https://medium.com/llm-study-diary-a-beginners-path-through-ai/llm-study-diary-decoding-langchains-official-multimodal-rag-sample-b4a645bdabe2 | |||
| 16:24 | Counting Tokens in OpenAI API Requests Using tiktoken https://kshitijkutumbe.medium.com/counting-tokens-in-openai-api-requests-using-tiktoken-da72f880e0bb | |||
| 16:15 | Case Study: How Salomatic Used Langtrace to Build a Reliable Medical Report Generation System https://medium.com/@Langtrace/case-study-how-salomatic-used-langtrace-to-build-a-reliable-medical-report-generation-system-0068660ae7c7 | |||
| 16:10 | cerebras: 450 tokens/sec llama 3.1 70B https://www.theregister.com/2024/08/27/cerebras_ai_inference/ | |||
| 16:10 | Hyperparameter Tuning: https://blog.devops.dev/hyperparameter-tuning-62bdf135248f | |||
| 16:09 | AI against AI ? https://medium.com/@ameya.naik/ai-against-ai-e0d81289efcc | |||
| 16:01 | RAG app with uploads on Cloudflare workers https://pub.towardsai.net/rag-app-with-uploads-on-cloudflare-workers-48987f9f0818 | |||
| 16:01 | Anthropic: Artifacts are now generally available https://www.anthropic.com/news/artifacts | |||
| 16:01 | Generative AI Certification Test: Our New Launch With Activeloop https://pub.towardsai.net/generative-ai-certification-test-our-new-launch-with-activeloop-12fa5ebdee46 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803