LLM News and Articles
Thursday, 2024-09-05 | ||||
13:51 | Minifying HTML for GPT-4o: Remove all the HTML tags https://blancas.io/blog/html-minify-for-llm/ | |||
13:45 | ChatGPT vs Claude: A Comprehensive Review of LLMs, Pricing, and Use Cases https://medium.com/@getanakin/chatgpt-vs-claude-a-comprehensive-review-of-llms-pricing-and-use-cases-243c15c71d92 | |||
13:36 | Exploring Property Graphs in LlamaIndex: Unlocking Structured Data for LLMs https://medium.com/@dharmendradiwaker12/exploring-property-graphs-in-llamaindex-unlocking-structured-data-for-llms-ce7a4e4c38f5 | |||
13:35 | How to Use an API for Creating a Dynamic Leaderboard https://medium.com/@lisakim01/how-to-use-an-api-for-creating-a-dynamic-leaderboard-cb10a3a5b96c | |||
13:35 | The Art and Science of Prompt Engineering: Unlocking the Full Potential of AI https://medium.com/@philmcc/the-art-and-science-of-prompt-engineering-unlocking-the-full-potential-of-ai-d372672f983b | |||
13:31 | Navigating the Landscape of Large Language Models https://prabhaaatttt.medium.com/navigating-the-landscape-of-large-language-models-3c1531a8db4c | |||
13:17 | Running Phi MoE 3.5 on Macbook Pro https://jamesravey.medium.com/running-phi-moe-3-5-on-macbook-pro-0ab72fbc26cd | |||
12:25 | How to Use BraveSearch with LangChain for Web Queries https://medium.com/@garysvenson09/how-to-use-bravesearch-with-langchain-for-web-queries-95eeff0ed60a | |||
12:03 | Hands-on Guide for Optimizing AI Prompts: Advanced Techniques https://medium.com/@farahayadi/hands-on-guide-for-optimizing-ai-prompts-advanced-techniques-1b1b7a4783d8 | |||
12:02 | From Copilot to Local AI: Running LLMs for Code https://medium.com/konzentrik/from-copilot-to-local-ai-running-llms-for-code-5dae7fe52bca | |||
12:00 | CUDA Toolkit: Full vs. Conda-installed version https://medium.com/@yulin_li/cuda-toolkit-full-vs-conda-installed-version-fe2153fc4263 | |||
11:52 | Prompt Engineering is a new Soft skill!! https://code.likeagirl.io/prompt-engineering-is-a-new-soft-skill-8b9f89bd10c8 | |||
11:23 | Top 10 AI Techniques for Effortless Undressing Tips https://medium.com/@hayleyseattle003/top-10-ai-techniques-for-effortless-undressing-tips-a1f41bb9108c | |||
11:02 | Step-by-Step Guide to Creating Your Own Large Language Model https://medium.com/sciforce/step-by-step-guide-to-your-own-large-language-model-2b3fed6422d0 | |||
11:01 | Using the official OpenAI library for .NET to Access llamafile LLMs https://medium.com/medialesson/using-the-official-openai-library-for-net-to-access-llamafile-llms-c0d8668dbc1d | |||
10:56 | Commands for the Cross-validation of PyTorch and CUDA Installation https://medium.com/@yulin_li/commands-for-the-cross-validation-of-pytorch-and-cuda-installation-235c8003b446 | |||
10:45 | Enhancing Fact-Checking with LoraMap: A Neuroscience-Inspired Approach to Efficient LoRA Integration https://www.marktechpost.com/2024/09/05/enhancing-fact-checking-with-loramap-a-neuroscience-inspired-approach-to-efficient-lora-integration/ | |||
10:30 | Quantization of LLMs- Overview https://medium.com/@rajujoshi/quantization-of-llms-overview-5fcefc953b6f | |||
10:24 | How to Use Adult ChatGPT for Free: A Guide for 2024 https://medium.com/@isabelwashington_49837/how-to-use-adult-chatgpt-for-free-a-guide-for-2024-0f1910f49de6 | |||
09:45 | Gone with AI: (De)bunking the Omni-potent LLM https://medium.com/@subhasism15/gone-with-ai-de-bunking-the-omni-potent-llm-1d85d4503e9a | |||
09:45 | ChatGPT 4 Turbo vs Claude 3.5: Models, Pricing, and Use Cases https://medium.com/@getanakin/chatgpt-4-turbo-vs-claude-3-5-models-pricing-and-use-cases-f3b53e7a1159 | |||
09:43 | Osho meets LLM (Part 1) https://medium.com/@dhruvpremi/osho-meets-llm-part-1-1fb2c836f932 | |||
09:35 | How to Use the Claude API for Enhanced AI Integration https://medium.com/@lisakim01/how-to-use-the-claude-api-for-enhanced-ai-integration-7024964a3486 | |||
09:34 | Improve OpenVINO™ performance on Generative AI workload on ARM devices with https://medium.com/openvino-toolkit/improve-openvino-performance-on-generative-ai-workload-on-arm-devices-with-5aee5808e23a | |||
09:31 | Explore Best LLM of World Math Problems: Developers Solution https://medium.com/@marketing_novita.ai/explore-best-llm-of-world-math-problems-developers-solution-e23b3c0c1c57 | |||
09:25 | The Propositions Method: Enhancing Information Retrieval for AI Systems https://medium.com/@nirdiamant21/the-propositions-method-enhancing-information-retrieval-for-ai-systems-c5ed6e5a4d2e | |||
09:08 | My 5 Steps to convert news into viral reels using AI. https://medium.com/augmented-startups/my-5-steps-to-convert-news-into-viral-reels-using-ai-4306664c10b7 | |||
08:56 | ChatGPT Migrates from Next.js to Remix https://old.reddit.com/r/reactjs/comments/1f97zgr/chatgpt_migrates_from_nextjs_to_remix/ | |||
08:27 | Unlocking the full potential of AI: Why custom LLM solutions are essential for your business https://medium.com/@andrija_86097/unlocking-the-full-potential-of-ai-why-custom-llm-solutions-are-essential-for-your-business-63ed2f2f892e | |||
08:25 | How to Implement Bing Search API in LangChain Agents https://medium.com/@garysvenson09/how-to-implement-bing-search-api-in-langchain-agents-a1669de5d380 | |||
08:00 | Finding Claude Unusable Now? Check Here for Solution: https://medium.com/@tayloroakley/finding-claude-unusable-now-check-here-for-solution-93e8bc9d5b34 | |||
07:51 | Revolutionizing Healthcare with Virtual Consultations https://dirk-schmidt.medium.com/revolutionizing-healthcare-with-virtual-consultations-24a33ccd652f | |||
07:32 | BiomixQA: A Benchmark Dataset for Biomedical AI https://medium.com/@karthi.soman/biomixqa-a-benchmark-dataset-for-biomedical-ai-d892d89074e7 | |||
07:27 | Osho meets LLM (Part 2) https://medium.com/@dhruvpremi/osho-meets-llm-part-2-f0523b8b2972 | |||
07:25 | Ensuring LLM Accuracy: A Comprehensive Testing Guide https://shivambharadwaj.medium.com/ensuring-llm-accuracy-a-comprehensive-testing-guide-995c57390883 | |||
07:10 | What is Arx.0.3 Model and Who Made It? https://medium.com/@tayloroakley/what-is-arx-0-3-model-and-who-made-it-9c91cf13c539 | |||
07:09 | Here Are the Apple Intelligence System Prompts: https://medium.com/@tayloroakley/here-are-the-apple-intelligence-system-prompts-544d8da49bfc | |||
07:09 | Is Gemini 1.5 Flash-8B Better Than GPT-4o-Mini? https://medium.com/@tayloroakley/is-gemini-1-5-flash-8b-better-than-gpt-4o-mini-48424a3a9db6 | |||
07:03 | Top What’s the Best LLM for Coding in 2024? https://medium.com/@tayloroakley/top-whats-the-best-llm-for-coding-in-2024-55aa0832cbc3 | |||
07:01 | Our participation in the International Conference on Machine Learning 2024 https://techblog.criteo.com/our-participation-in-the-international-conference-on-machine-learning-2024-1e690f26e405 | |||
06:59 | Embeddings: How to select the right one? https://vijaysurampudi.medium.com/embeddings-how-to-select-the-right-one-135032315709 | |||
06:58 | GPTs and the Forehead Detective https://towardsdatascience.com/gpts-and-the-forehead-detective-ea05440c2c63 | |||
06:47 | Breaking the 60-Second Barrier: A Deep Dive into Reliable AI Response Streaming — Part 2 https://towardsdev.com/breaking-the-60-second-barrier-a-deep-dive-into-reliable-ai-response-streaming-part-2-0af3dd510ec8 | |||
06:40 | Day 4: Tools and Frameworks for LLMs https://medium.com/@nikhil16kulkarni/day-4-tools-and-frameworks-for-llms-a548bf8b27cb | |||
06:25 | Components of Autonomous Agents https://ogre51.medium.com/components-of-autonomous-agents-45be85b67a59 | |||
05:26 | Comprehensive Guide to Chunking in LLM and RAG Systems https://kshitijkutumbe.medium.com/comprehensive-guide-to-chunking-in-llm-and-rag-systems-c579a11ce6e2 | |||
04:54 | Large Language Models Agents Handbook https://medium.com/@anandvlinkedin/large-language-models-agents-handbook-6c1acdbefa52 | |||
04:25 | How to Optimize Conversations with Ollama in LangChain https://medium.com/@garysvenson09/how-to-optimize-conversations-with-ollama-in-langchain-ade4c044ae3c | |||
03:50 | Kids who use ChatGPT as a study assistant do worse on tests https://hechingerreport.org/kids-chatgpt-worse-on-tests/ | |||
03:48 | Text-to-SQL’s Power Players: Comparing Claude 3.5 Sonnet, GPT-4o, Mistral Large 2, Llama 3.1 https://medium.com/querymind/text-to-sqls-power-players-comparing-claude-3-5-sonnet-gpt-4o-mistral-large-2-llama-3-1-d4530a3d4407 | |||
03:38 | Yi-Coder: A Small but Mighty LLM for Code https://01-ai.github.io/blog.html | |||
03:31 | FineTuning Llama 3.1 8B for ESCI Classification https://medium.com/@mroko001/mastering-e-commerce-search-with-llama-3-1-8b-a-comprehensive-guide-to-esci-classification-b5b9bcd992ba | |||
03:17 | Fine-tuning Large Language Models for E-commerce Search: A Practical Guide https://medium.com/@mroko001/fine-tuning-large-language-models-for-e-commerce-search-a-practical-guide-4bceb30787b1 | |||
02:42 | Understanding the Limitations of LLM APIs and How to Navigate Them https://ogre51.medium.com/understanding-the-limitations-of-llm-apis-and-how-to-navigate-them-74afdd5d9e68 | |||
02:22 | Mitigating Latency Issues in LLM Deployment https://ogre51.medium.com/mitigating-latency-issues-in-llm-deployment-07ecbc6c13af | |||
01:23 | ChatGPT Switched from NextJS to Remix https://twitter.com/ryanflorence/status/1831379475654947233 | |||
01:19 | Leveraging Ollama_Agents for Polished Research Paper Creation https://medium.com/@mbonsign/leveraging-ollama-agents-for-polished-research-paper-creation-ea89c124b98b | |||
01:18 | OpenAI might use Apple's TSMC for chips https://www.computerworld.com/article/3502761/openai-might-use-apples-tsmc-for-chips.html | |||
00:44 | Why AI Guardrails Need Session-Level Monitoring: Stopping Threats That Slip Through the Cracks https://amarkanagaraj.medium.com/why-ai-guardrails-need-session-level-monitoring-stopping-threats-that-slip-through-the-cracks-dc5338c873cb | |||
00:25 | How to Create a Bedrock Knowledge Base with Langchain https://medium.com/@garysvenson09/how-to-create-a-bedrock-knowledge-base-with-langchain-eabbec24abad | |||
Wednesday, 2024-09-04 | ||||
23:45 | Samsung’s MobileQuant: Bringing High-Performance Language Models to Your Pocket https://medium.com/syncedreview/samsungs-mobilequant-bringing-high-performance-language-models-to-your-pocket-9421245a7bfa | |||
23:43 | The Convergence of Minds: Bridging the Gap Between Biological and Artificial Neural Networks https://medium.com/@kleeirwin_47671/the-convergence-of-minds-bridging-the-gap-between-biological-and-artificial-neural-networks-c420b607b62b | |||
23:26 | Token Sampling — Beam Search https://medium.com/@chitrakumarsai/token-sampling-beam-search-7babc9017d5a | |||
23:10 | Semi-Structured Data Extraction Using Guided Decoding on Databricks Serving Pt. 1 (TEXT) https://medium.com/@tsriharsha/semi-structured-data-extraction-using-guided-decoding-on-databricks-serving-pt-1-text-b8c26c0a0b2c | |||
22:52 | Show HN: Laminar – Open-Source DataDog + PostHog for LLM Apps, Built in Rust https://github.com/lmnr-ai/lmnr | |||
22:28 | Using LLMs to Automaticly label datasets and Build Supervised Topic Models https://medium.com/@samcarlos_14058/using-llms-to-automaticly-label-datasets-and-build-supervised-topic-models-41aee81f5b2b | |||
22:04 | Movie Recommendations is All You Need: Rethinking Large Language Models with MinHash https://medium.com/@joseorlicki/movie-recommendations-is-all-you-need-rethinking-large-language-models-with-minhash-3d9f456e9e47 | |||
22:04 | Beyond Basic RAG: Retrieval Weighting https://medium.com/logspace/beyond-basic-rag-retrieval-weighting-86deb741f5cc | |||
21:15 | Evaluating LLM Systems: Best Practices https://medium.com/@tannermcrae/evaluating-llm-systems-best-practices-1bd8e5ac2531 | |||
21:01 | What I learnt from building a Vocal Summarisation app https://amusatomisin65.medium.com/what-i-learnt-from-building-a-vocal-summarisation-app-9ad1ea2dc45a | |||
20:28 | Prompt Engineering — Menjadikan GenAI ‘Sahabat’ Kita https://rekayasadata.co.uk/prompt-engineering-menjadikan-genai-sahabat-kita-bf1af730fe25 | |||
20:26 | How to Build a BabyAGI System Using LangChain Tutorial https://medium.com/@garysvenson09/how-to-build-a-babyagi-system-using-langchain-tutorial-3fb49c119bed | |||
20:18 | OpenAI's Japan president reveals details surrounding 'GPT-Next' https://readwrite.com/openais-japan-president-reveals-details-surrounding-gpt-next/ | |||
20:00 | How does ChatGPT’s memory feature work? https://medium.com/@jay-chung/how-does-chatgpts-memory-feature-work-57ae9733a3f0 | |||
19:55 | WVV Capital’s Investment in Vectara https://medium.com/@WVVCapital/wvv-capitals-investment-in-vectara-50b4e8be7172 | |||
19:10 | Synthetic Cancer in Cybersecurity: Understanding the New Evolving Malware Threat. https://medium.com/@gianluca.mondillo/synthetic-cancer-in-cybersecurity-understanding-the-new-evolving-malware-threat-59374e957b52 | |||
18:16 | How should we be reacting to GPT/LLM technology? Part II. https://medium.com/@igorgeyn/how-should-we-be-reacting-to-gpt-llm-technology-part-ii-b82e988c471f | |||
18:07 | Improving RAG using Adaptive RAG+ Gemma 2 https://medium.com/@sridevi.gogusetty/improving-rag-using-adaptive-rag-gemma-2-c50e641ebc64 | |||
18:03 | My review of the “Super Prompt” https://medium.com/@timothyemanik/my-review-of-the-super-prompt-957b06471e36 | |||
17:57 | A practical guide on how to choose the best LLM for your next project. https://medium.com/@tatkeulionel/a-practical-guide-on-how-to-choose-the-best-llm-for-your-next-project-97e5b84edada | |||
17:49 | Multi-modal Rag https://medium.com/@maneyogesh065/multi-modal-rag-70192cbade50 | |||
17:09 | 2 Mins GenAI: How do Large Language Models work? https://python.plainenglish.io/2-mins-genai-how-do-large-language-models-work-5aa6a944b96e | |||
17:05 | Building a Retrieval-Augmented Generation (RAG) System with Local ollama and Langchain https://medium.com/@maneyogesh065/building-a-retrieval-augmented-generation-rag-system-with-local-ollama-and-langchain-42b1b45e7f60 | |||
16:26 | How to Integrate Azure AI Search with Langchain Tutorial https://medium.com/@garysvenson09/how-to-integrate-azure-ai-search-with-langchain-tutorial-03bc1fa75d64 | |||
16:15 | Understanding Retrieval-Augmented Generation (RAG) in LLMs: A Comprehensive Guide https://medium.com/@maheshhkanagavell/understanding-retrieval-augmented-generation-rag-in-llms-a-comprehensive-guide-e63f4dd3e25d | |||
16:04 | Show HN: I built a website where you can easily fine-tune Llama 3.1 models https://www.tunellama.com | |||
15:57 | Understanding Prompt Caching: A Game-Changer for AI Efficiency https://medium.com/@asimsultan2/understanding-prompt-caching-a-game-changer-for-ai-efficiency-bb9cb32de5a7 | |||
15:54 | Build your own AI chatbot for your website https://medium.com/@engrshul/build-your-own-ai-chatbot-for-your-website-bb154095d7c7 | |||
15:34 | How Paradigm runs and monitors thousands of agents in parallel with LangChain and LangSmith https://blog.langchain.dev/customers-paradigm/ | |||
15:12 | Large Language Models — LLM and API’s https://medium.com/@anandvlinkedin/large-language-models-llm-and-apis-f22a9de496d9 | |||
15:01 | Large Language Models vs Generative AI: Understanding the Key Differences https://medium.com/cryptoniche/large-language-models-vs-generative-ai-understanding-the-key-differences-d0f53784947b | |||
15:00 | LLM Architectures — A Comprehensive Guide: BERT, BART, XLNet https://medium.com/@anandvlinkedin/llm-architectures-a-comprehensive-guide-bert-bart-xlnet-645c5cd17e1c | |||
14:56 | How well AI summarizes SEC filings? Quick test GPT-4o vs Llama 3.1 70B https://medium.com/@jujukala/how-well-ai-summarizes-sec-filings-quick-test-gpt-4o-vs-llama-3-1-70b-1a3d3457dce1 | |||
14:48 | IA GENERATIVA https://medium.com/@Luiz_H/ia-generativa-2d73624563d6 | |||
14:41 | Why Large Language Models Are Essential Subsets of Foundation Models? https://medium.com/ailogic/why-large-language-models-are-essential-subsets-of-foundation-models-0ea57fb51a75 | |||
14:38 | RAG Models and Architectures: A Detailed Exploration https://medium.com/@punya8147_26846/rag-models-and-architectures-a-detailed-exploration-edc47b574c03 | |||
14:31 | Managing the costs of LLMs https://medium.com/@symflower/managing-the-costs-of-llms-ef77d22b04f3 | |||
14:29 | Automated Prompt Engineering: The Definitive Hands-On Guide https://towardsdatascience.com/automated-prompt-engineering-the-definitive-hands-on-guide-1476c8cd3c50 | |||
14:29 | Beware the rocky shoals behind the siren’s call of LLMs and vector databases https://medium.com/@jimboland/beware-the-rocky-shoals-behind-the-sirens-call-of-llms-and-vector-databases-24e46ac439b0 | |||
14:13 | LoRA: paper explained https://medium.com/@sreekar.grlpt/lora-paper-explained-03a1c7e2f20e |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803