LLM News and Articles
Saturday, 2024-08-31 | ||||
21:41 | An Introduction To Me https://medium.com/@collinreykillian/an-introduction-to-me-a799badf9ffe | |||
20:38 | Local LLM Generated Knowledge Graphs Powered by Local Neo4j https://ai.gopubby.com/local-llm-generated-knowledge-graphs-powered-by-local-neo4j-4111c5234993 | |||
20:08 | Running LLaMA3.1 https://medium.com/@monsuralirana/running-llama3-1-729a909b2ee8 | |||
19:56 | The Threat to OpenAI https://www.wsj.com/tech/ai/ai-chatgpt-nvidia-apple-facebook-383943d1 | |||
19:54 | ChatGPT is not just for professionals https://medium.com/@marocsofiane20/chatgpt-is-not-just-for-professionals-48c85dbc989b | |||
18:38 | Enhancing GenAI Capabilities: RAG and Natural Language to SQL Generation https://medium.com/@tejasgupta2703/enhancing-genai-capabilities-rag-and-natural-language-to-sql-generation-87ef9cedbfde | |||
18:32 | Aider: Your AI Pair Programming Partner https://medium.com/@omkamal/aider-your-ai-pair-programming-partner-0b6527aa0550 | |||
18:05 | The siren song of ChatGPT and junior devs that listen to it https://www.infobip.com/engineering/chat-gpt-and-the-things-i-learned-while-using-it | |||
17:37 | Beyond the Basics: RAGLAB’s Transparent and Modular Framework, Elevating Retrieval-Augmented… https://ai.gopubby.com/beyond-the-basics-raglabs-transparent-and-modular-framework-elevating-retrieval-augmented-29f7b3411050 | |||
17:37 | Beyond the Basics: RAGLAB’s Transparent and Modular Framework, Elevating Retrieval-Augmented… https://readqvick.medium.com/beyond-the-basics-raglabs-transparent-and-modular-framework-elevating-retrieval-augmented-29f7b3411050 | |||
17:29 | How publishers need to adapt in the era of RAG https://sarah-packowski.medium.com/how-publishers-need-to-adapt-in-the-era-of-rag-64ebe2c95540 | |||
17:25 | Bring Back the Good Old Timee Spelling Correctors https://medium.com/inkwell-atlas/bring-back-the-good-old-timee-spelling-correctors-59df8da4de17 | |||
17:07 | Simple React UI for Chatting with PDF using AI Locally https://medium.com/@magesh27/simple-react-ui-for-chatting-with-pdf-using-ai-locally-730720fe888e | |||
16:37 | Ollama PDF Chat Bot: A Streamlit-Based PDF Chat Application https://medium.com/@raj.varun454/ollama-pdf-chat-bot-a-streamlit-based-pdf-chat-application-5279aa786483 | |||
16:37 | Ollama PDF Chat Bot: A Streamlit-Based PDF Chat Application https://medium.com/@raj.ini/ollama-pdf-chat-bot-a-streamlit-based-pdf-chat-application-5279aa786483 | |||
16:16 | Transformers Architecture vs GPT Architecture https://medium.com/@ahmeterdempmk/transformers-architecture-vs-gpt-architecture-e6ef54d0e442 | |||
15:42 | Supervised Fine-tuning dilemma (What’s up with all those configurations?) https://medium.com/@anas.aberchih1/supervised-fine-tuning-dilemma-whats-up-with-all-those-configurations-a1f9040bb74e | |||
15:37 | Siber Dedektifin El Kitabı: LLM Güvenliği ve Pentest Stratejileri https://kayahuseyinn.medium.com/siber-dedektifin-el-kitab%C4%B1-llm-g%C3%BCvenli%C4%9Fi-ve-pentest-stratejileri-140ad59d67d9 | |||
15:18 | A Deep Dive into Transformer Models and Their Role in LLMs https://medium.com/@siladityaghosh/a-deep-dive-into-transformer-models-and-their-role-in-llms-0324844e91a8 | |||
15:02 | Show HN: Free Open Source Claude, ChatGPT, and Gemini Slack App (v0.2.5) https://github.com/Deeptechia/geppetto/releases/tag/v0.2.5 | |||
14:54 | OpenAI weighs changes to corporate structure amid latest funding talks https://www.ft.com/content/841f6e58-b1bb-4c8e-bce0-a4c0b46ee2f8 | |||
14:48 | Understanding and Avoidsing Large Language Model User-Induced Bias https://medium.com/@daveziegler/understanding-and-avoidsing-large-language-model-user-induced-bias-15ac4d7b0b04 | |||
13:41 | Canadian artist wants Anthropic AI lawsuit corrected https://www.theregister.com/2024/08/31/canadian_artist_anthropic_ai_lawsuit/ | |||
13:15 | No, You Cannot Generate NSFW Content with ChatGPT, But Here is an Alternative https://towards-agi.medium.com/no-you-cannot-generate-nsfw-content-with-chatgpt-but-here-is-an-alternative-731a573859f2 | |||
13:02 | Fine-tuning OpenAI Models: Part 3— Model Evaluation https://medium.com/@manaranjanp/fine-tuning-openai-models-for-cricket-commentary-analysis-part-3-model-evaluation-87ba8c10a9f7 | |||
12:42 | Era of Light Weight LLM Models: Innovations and Mobile Possibilities https://medium.com/@kushagramisra10/era-of-light-weight-llm-models-innovations-and-mobile-possibilities-8634064e0b09 | |||
12:22 | Enabling Next-Gen LLM Applications via Multi-Agent Conversation: A Comprehensive Framework https://patel-world.medium.com/enabling-next-gen-llm-applications-via-multi-agent-conversation-a-comprehensive-framework-0b5b299a2325 | |||
12:16 | Implementing Self-Attention from Scratch in PyTorch https://mohdfaraaz.medium.com/implementing-self-attention-from-scratch-in-pytorch-776ef7b8f13e | |||
12:13 | Retrieval-Augmented Generation (RAG) as the Future of Information Retrieval in Generative AI https://medium.com/anolytics/retrieval-augmented-generation-rag-as-the-future-of-information-retrieval-in-generative-ai-86131b0060c5 | |||
12:01 | Mastering Claude AI: A Comprehensive Guide for ModelFusion Users https://medium.com/@modelfusion/mastering-claude-ai-a-comprehensive-guide-for-modelfusion-users-23b38e0a666d | |||
11:44 | Testing the new Gemini 1.5 Pro model https://ai.gopubby.com/testing-the-new-gemini-1-5-pro-model-ddff387ad435 | |||
11:35 | Free AI: How to Test and Use AI Models for Free on lmarena.ai https://medium.com/@LegionSVK/free-ai-how-to-test-and-use-ai-models-for-free-on-lmarena-ai-78ad0610fb21 | |||
10:12 | Prototyping to Production — 15 RAG Strategies You Need https://medium.com/@bijit211987/prototyping-to-production-15-rag-strategies-you-need-01fd9c0436f9 | |||
10:08 | Decoding Generative AI Interviews: Top 5 Questions You Should Know https://python.plainenglish.io/decoding-generative-ai-interviews-top-5-questions-you-should-know-cfb784cc7321 | |||
09:54 | Ever Struggled with Data Queries? Snowflake enabled ☃️Frosty AI Does It All in Seconds! https://medium.com/@abyscores0503/ever-struggled-with-data-queries-snowflake-enabled-%EF%B8%8Ffrosty-ai-does-it-all-in-seconds-c4baaf6d7853 | |||
09:49 | The Complete Guide to GPU Requirements for Training and Inference of LLM https://medium.com/@pradhandebasish2046/the-complete-guide-to-gpu-requirements-for-training-and-inference-of-llm-b43b54982686 | |||
09:43 | Immensia https://medium.com/@takenori.sato/immensia-7e5cdd20d1c8 | |||
09:33 | Trying to Thank ChatGPT https://medium.com/@Ben-Santora/trying-to-thank-chatgpt-df5d5d8049ee | |||
09:15 | Microsoft Researchers Combine Small and Large Language Models for Faster, More Accurate Hallucination Detection https://www.marktechpost.com/2024/08/31/microsoft-researchers-combine-small-and-large-language-models-for-faster-more-accurate-hallucination-detection/ | |||
09:01 | How to collect user data from chat conversation using OpenAI API https://zoransasko.medium.com/how-to-collect-user-data-from-chat-conversation-using-openai-api-1849322735ac | |||
08:58 | LLM Tokenizations — Understanding Text Tokenizations for Transformer-based Language Models https://medium.com/@shahrukhx01/llm-tokenizations-understanding-text-tokenizations-for-transformer-based-language-models-a3f50f7c0c16 | |||
08:01 | Fine-tuning OpenAI Models for Cricket Commentary Analysis: Part 2 — Model Training https://medium.com/@manaranjanp/fine-tuning-openai-models-for-cricket-commentary-analysis-part-2-model-training-0926b0c60444 | |||
07:47 | From Fine-Tuning to Deployment https://blog.gopenai.com/from-fine-tuning-to-deployment-da2cc118cf73 | |||
07:37 | Enhancing Payslip Fraud Detection with Multi-Modal LLMs: A Comprehensive Approach to Layout… https://levelup.gitconnected.com/enhancing-payslip-fraud-detection-with-multi-modal-llms-a-comprehensive-approach-to-layout-b1b5540c42d9 | |||
07:30 | Fine-tuning OpenAI model: Part 1 — Data Generation https://medium.com/@manaranjanp/fine-tuning-openai-model-extracting-valuable-information-from-cricket-commentary-1e653ea9a19b | |||
07:13 | The Transformation of Business Intelligence https://blog.mirkopeters.com/the-transformation-of-business-intelligence-652fb4c63eb2 | |||
06:50 | Extracting Line Items from a Document with GPT: It’s not a straightforward task https://djajafer.medium.com/extracting-line-items-from-a-document-with-gpt-its-not-a-straightforward-task-1bcc19fd9765 | |||
06:27 | Large Language Models (LLM): Konsep, Aplikasi, dan Panduan Membuat LLM Sederhana https://medium.com/@adriansyah1230/large-language-models-llm-konsep-aplikasi-dan-panduan-membuat-llm-sederhana-55028211a6a6 | |||
06:21 | From Amazon to You: Custom AI Models for Alexa with LLM-RAG Integration https://medium.com/@manthapavankumar11/from-amazon-to-you-custom-ai-models-for-alexa-with-llm-rag-integration-2be6c1c340d7 | |||
06:21 | From Amazon to You: Custom AI Models for Alexa with LLM-RAG Integration https://blog.gopenai.com/from-amazon-to-you-custom-ai-models-for-alexa-with-llm-rag-integration-2be6c1c340d7 | |||
06:18 | Recuperação de documentos em um sistema de RAG: Uma breve introdução sobre avaliação de chunking e… https://medium.com/@nophaieviscente/recupera%C3%A7%C3%A3o-de-documentos-em-um-sistema-de-rag-uma-breve-introdu%C3%A7%C3%A3o-sobre-avalia%C3%A7%C3%A3o-de-chunking-e-141bb99b08be | |||
05:22 | Are We Losing Our Reasoning? https://rathi-ankit.medium.com/are-we-losing-our-reasoning-bbfffa0bacf4 | |||
04:29 | What is vLLM and why is it so fast on LLM inference? https://medium.com/@jywang.llm/what-is-vllm-and-why-is-it-so-fast-on-llm-inference-57f3f72b7018 | |||
04:28 | Certified AI/ML Pentester (C-AI/MLPen) Review https://infosecwriteups.com/certified-ai-ml-pentester-c-ai-mlpen-review-f465bcdef8ef | |||
03:55 | Distributed Model Training at Scale: Part One— Parallel-Training https://medium.com/@ming.gao.gm/distributed-model-training-at-scale-part-one-parallel-training-9a96508c741f | |||
01:55 | Revolutionizing Enterprise AI: The Power of RAG 2.0 https://reiserx.medium.com/revolutionizing-enterprise-ai-the-power-of-rag-2-0-9cf93b57d87d | |||
00:11 | The image generator Stable Diffusion version 1.5 disappeared from HuggingFace https://huggingface.co/runwayml/stable-diffusion-v1-5 | |||
Friday, 2024-08-30 | ||||
22:53 | Uncensored AI: Venice.ai https://medium.com/@LegionSVK/uncensored-ai-venice-ai-51c8870ad0ad | |||
22:41 | Fine-Tuning LLaMA 3.1: Step-by-Step, Everything Explained in Detail https://imranzaman-5202.medium.com/fine-tuning-llama-3-1-step-by-step-everything-explained-in-detail-d2da32fc97b5 | |||
20:49 | LLM Agents Ideas 2024: A Comprehensive Analysis https://medium.com/@romin991/llm-agents-ideas-2024-a-comprehensive-analysis-6881ce969eb4 | |||
20:39 | Microsoft, Apple, and Nvidia will reportedly bail out OpenAI from bankruptcy https://www.windowscentral.com/software-apps/microsoft-apple-and-nvidia-will-reportedly-bail-out-openai-from-the-shackles-of-bankruptcy | |||
20:20 | For those who are interested in quantizing LLMs, please check out my article. https://www.reddit.com/r/llm_updated/comments/1f552pl/for_those_who_are_interested_in_quantizing_llms/ | |||
20:17 | AI Agent Components https://medium.com/mindsdb/ai-agent-components-8676f5df10b0 | |||
19:35 | The Top Conversational AI Models of 2024 https://medium.com/@jeremymorgan/the-top-conversational-ai-models-of-2024-0ddcde9a5728 | |||
19:07 | Retrieval Augmented Generation (RAG) For All https://medium.com/@grpc00/retrieval-augmented-generation-rag-for-all-f01a6423a175 | |||
19:02 | SQLite-vec — a powerful, extremely small, “fast enough” vector search SQLite extension https://generativeai.pub/sqlite-vec-a-powerful-extremely-small-fast-enough-vector-search-sqlite-extension-cd1a0747e9d3 | |||
18:59 | Memory Mosaics, a New Transparent AI Model, Illustrates How Transformers Work https://nyudatascience.medium.com/memory-mosaics-a-new-transparent-ai-model-illustrates-how-transformers-work-1eb4b49c06ef | |||
18:56 | Why you need an iPaaS to build a RAG application https://medium.com/@you.zouhairi/why-you-need-an-ipaas-to-build-a-rag-application-4e3aa21753dd | |||
18:48 | How Agentic AI fundamentally changes enterprise sales https://medium.com/@oliver.alf.private/how-agentic-ai-fundamentally-change-enterprise-sales-262f813a7fc5 | |||
18:17 | Funding opportunity for software engineering projects with LLMs! https://rafaelrisala.medium.com/funding-opportunity-for-software-engineering-projects-with-a-social-impact-5cbc80a17084 | |||
18:14 | From Naïve RAG to MultiModal RAG: Revolutionizing AI Assistance with Enhanced Reasoning and… https://readqvick.medium.com/from-na%C3%AFve-rag-to-multimodal-rag-revolutionizing-ai-assistance-with-enhanced-reasoning-and-5c988f43cd62 | |||
18:01 | 📊 Agents for Time Series Analysis https://www.llmwatch.com/p/agents-for-time-series-analysis | |||
17:52 | Enhanced Document Extraction for GenAI Use Cases https://blog.kensho.com/enhanced-document-extraction-for-genai-use-cases-e93b1a9073bb | |||
17:39 | Exploring Important Fundamentals of Large Language Models: A Beginner’s Guide https://python.plainenglish.io/exploring-important-fundamentals-of-large-language-models-a-beginners-guide-9ddccded8172 | |||
17:34 | Implementing and Utilizing Azure OpenAI Assistants https://sannidhisiva.medium.com/implementing-and-utilizing-azure-openai-assistants-3d9297d5e53b | |||
17:15 | Building a Simple Retrieval-Augmented Generation (RAG) Apps with NVIDIA NIM API https://blog.gopenai.com/building-a-simple-retrieval-augmented-generation-rag-apps-with-nvidia-nim-9cfd3ddbd1bf | |||
17:11 | Should Gemini’s Million Token Context Be Trusted? https://medium.com/@camronhaider/should-geminis-million-token-context-be-trusted-30be97c5109d | |||
17:11 | LLM from Scratch — Part 1 Bigram model https://medium.com/@affanhamid007/llm-from-scratch-part-1-bigram-model-c52fbf71ec2c | |||
17:02 | Understanding Confidence Percentage in LLM Responses https://medium.com/@punya8147_26846/understanding-confidence-percentage-in-llm-responses-08a44ef015a2 | |||
16:58 | The AI Dilemma — Choosing Wisely https://medium.com/the-ai-strategist/the-ai-dilemma-choosing-wisely-d1596dfb970d | |||
16:24 | Kotaemon: Making Advanced RAG Technology Accessible to Everyone https://medium.com/@LakshmiNarayana_U/kotaemon-making-advanced-rag-technology-accessible-to-everyone-1840bab77ae2 | |||
16:18 | Apple is reportedly trying to invest in OpenAI https://arstechnica.com/gadgets/2024/08/apple-is-reportedly-trying-to-invest-in-openai/ | |||
16:13 | Framework to Choose the Right LLM for your Business https://medium.com/@shravankoninti/framework-to-choose-the-right-llm-for-your-business-6ecaceef00b7 | |||
15:56 | Using LangChain and OpenAI to Query SQL Databases: A Practical Example https://beinset.medium.com/using-langchain-and-openai-to-query-sql-databases-a-practical-example-1e4e1556cb2d | |||
15:01 | Ollama: Revolutionizing Local AI Processing — A Comprehensive Guide for Developers https://medium.com/@spietrza/ollama-revolutionizing-local-ai-processing-a-comprehensive-guide-for-developers-390d790c6f81 | |||
14:41 | Zero to Hero: Crafting a Custom GPT https://medium.com/@mimixco/zero-to-hero-crafting-a-custom-gpt-e2ef22653b1f | |||
14:21 | AI for Anyone Interested https://medium.com/ubiwhere/ai-for-anyone-interested-5a287f3195be | |||
14:04 | How to Effectively Evaluate RAG (Retrieval-Augmented Generation) Systems https://medium.com/@lgsquare/how-to-effectively-evaluate-rag-retrieval-augmented-generation-systems-ab625fe102dd | |||
13:49 | Small Language Models (SLM) Explained: Tailoring AI for Your Business Needs https://medium.com/ailogic/small-language-models-slm-explained-tailoring-ai-for-your-business-needs-c27b186de606 | |||
13:47 | Why Can’t AI count letters ? https://ai.plainenglish.io/why-cant-ai-count-letters-ef2eff5cc123 | |||
13:46 | Navigating Indeterminism: Improving Reproducibility in LLMs https://medium.com/yugen-ai-technology-blog/navigating-indeterminism-improving-reproducibility-in-llms-945362d3912c | |||
13:44 | Suddenly Runway deleted all content on HuggingFace and GitHub https://www.aibase.com/news/11434 | |||
13:27 | Why LLM Costs Can Sneak Up on You https://medium.com/@edenaiza/why-llm-costs-can-sneak-up-on-you-214c17c142d0 | |||
13:26 | Testing Mistral Nemo for Large and Complex Prompts: A Comparison with Llama and GPT https://medium.com/@researchgraph/testing-mistral-nemo-for-large-and-complex-prompts-a-comparison-with-llama-and-gpt-fc789177c845 | |||
13:24 | Components that optimize n-shot text classification https://medium.com/80-20-hacking-ai/components-that-optimize-n-shot-text-classification-f574184e0b81 | |||
13:19 | Why Your LLM Model Isn’t Learning: Common Issues and How to Fix Them https://medium.com/@hajar.mousannif/why-your-llm-model-isnt-learning-common-issues-and-how-to-fix-them-1bff804ee75e | |||
13:17 | LLM observability: tools for monitoring Large Language Models https://medium.com/@symflower/llm-observability-tools-for-monitoring-large-language-models-1ee0ecc5870c | |||
12:59 | Amazon turns to Anthropic's AI for Alexa revamp https://www.reuters.com/technology/artificial-intelligence/amazon-turns-anthropics-claude-alexa-ai-revamp-2024-08-30/ | |||
12:34 | Solving Math Problems with LLMs https://medium.com/@arturgrygorian3/solving-math-problems-with-llms-921e287f5796 | |||
12:10 | “Hello World, LLM 2.0” —Relooking at using LLMs locally https://medium.com/@ar.arun/hello-world-llm-2-0-relooking-at-using-llms-locally-52f379998e6d |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803