LLM News and Articles
| Monday, 2024-08-19 | ||||
| 06:00 | Understanding the 27 Unique Challenges in Large Language Model Development: An Empirical Study of Over 29,000 Developer Forum Posts and 54% Unresolved Issues https://www.marktechpost.com/2024/08/18/understanding-the-27-unique-challenges-in-large-language-model-development-an-empirical-study-of-over-29000-developer-forum-posts-and-54-unresolved-issues/ | |||
| 05:22 | LLMs Still Can’t Plan And Reason https://medium.com/aiguys/llms-still-cant-plan-and-reason-1026919225fb | |||
| 05:12 | Knowledge graph extraction using LLMs // Advanced RAG https://sbagency.medium.com/knowledge-graph-extraction-using-llms-advanced-rag-642808c7c876 | |||
| 05:04 | Building a Versatile AI Chatbot with LangGraph: A Step-by-Step Guide https://devendrabogati.medium.com/building-a-versatile-ai-chatbot-with-langgraph-a-step-by-step-guide-10047893972d | |||
| 05:00 | The Challenges of Implementing Retrieval Augmented Generation (RAG) in Production https://www.marktechpost.com/2024/08/18/the-challenges-of-implementing-retrieval-augmented-generation-rag-in-production/ | |||
| 04:55 | Paper Review: Winning Amazon KDD Cup24 https://artgor.medium.com/paper-review-winning-amazon-kdd-cup24-0c4bdac187e2 | |||
| 04:39 | LLM-Powered Summaries: Unlock Business Insights with Chain of Density https://medium.com/@the_manoj_desai/llm-powered-summaries-unlock-business-insights-with-chain-of-density-3ef8fbcca9f2 | |||
| 04:17 | Enhancing Civil Engineering Calculations in Chatbots with CalcTree API Integration https://python.plainenglish.io/enhancing-civil-engineering-calculations-in-chatbots-with-calctree-api-integration-52c4058a6a4b | |||
| 03:51 | End to end LLMOps Pipeline — Part 7- Validating Kubernetes Manifests with kube-score https://devopslearning.medium.com/end-to-end-llmops-pipeline-part-7-validating-kubernetes-manifests-with-kube-score-fa60a19f6581 | |||
| 02:52 | How to Glean Insights from Support Requests Using Prompt Engineering https://medium.com/@sellermichael/how-to-glean-insights-from-support-requests-using-prompt-engineering-2478ca8c1416 | |||
| 02:52 | The Schema Connection: Unlocking Human-like Adaptability in Large Language Models. https://medium.com/@cuba6112/the-schema-connection-unlocking-human-like-adaptability-in-large-language-models-f18ddef0267a | |||
| 01:02 | My conversation with Perplexity AI Pro https://stingraze.medium.com/my-conversation-with-perplexity-ai-pro-be4c3255b9d7 | |||
| 00:00 | Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI https://huggingface.co/blog/llama31-on-vertex-ai | |||
| Sunday, 2024-08-18 | ||||
| 23:15 | 30 days of learning LLM! https://medium.com/@insight_ninja/30-days-of-learning-llm-2c78211216aa | |||
| 23:08 | Is Llama 3.1 a baby step towards intelligence explosion (AI improving AI) https://sandar-ali.medium.com/is-llama-3-1-a-baby-step-towards-intelligence-explosion-ai-improving-ai-6aeae8ff3614 | |||
| 22:09 | Decoding the Transformer Model: Architecture, Loss Function, and Inference from the ‘Attention is… https://praveenkumar2909.medium.com/decoding-the-transformer-model-architecture-loss-function-and-inference-from-the-attention-is-717b98d183b3 | |||
| 22:09 | The Rise of Arabic LLMs and leveraging it to cater for Illiterates https://medium.com/@nermeen.abdelaziz/the-rise-of-arabic-llms-and-leveraging-it-to-cater-for-illiterates-b7629a22bf58 | |||
| 21:54 | Building Personal Chatbot — Part 2 https://medium.com/@prabhakaran_arivalagan/building-personal-chatbot-part-2-8c2d5d744030 | |||
| 21:32 | In the end it really is just text completion (mostly) https://deepwell-at.medium.com/in-the-end-it-really-is-just-text-completion-mostly-6f6d61961620 | |||
| 21:27 | Show HN: Dive into Transformers and LLM World – Llama 3.1 in Go, Step by Step https://github.com/adalkiran/llama-nuts-and-bolts | |||
| 21:17 | Maximizing Efficiency in Deep Learning: From Quantization to Multi-GPU Scaling https://medium.com/@shashankag14/optimizing-deep-learning-models-with-quantization-3ea6bac79c43 | |||
| 21:17 | USC Researchers Present Safer-Instruct: A Novel Pipeline for Automatically Constructing Large-Scale Preference Data https://www.marktechpost.com/2024/08/18/usc-researchers-present-safer-instruct-a-novel-pipeline-for-automatically-constructing-large-scale-preference-data/ | |||
| 21:04 | Building a Generative AI Model with Markov Chains: Understanding HMMs https://medium.com/@venkatachalam.sps/building-a-generative-ai-model-with-markov-chains-understanding-hmms-69d7241e23da | |||
| 20:29 | Fine-tuning Language Models for Triple Extraction with Data Augmentation https://medium.com/@EleventhHourEnthusiast/fine-tuning-language-models-for-triple-extraction-with-data-augmentation-834196bb3ceb | |||
| 20:27 | I Trained a 2D Game Animation Generation Model to Create Complex, Cool Game Actions (Fully… https://ai.gopubby.com/i-trained-a-2d-game-animation-generation-model-to-create-complex-cool-game-actions-fully-cf749a72c473 | |||
| 20:20 | Review : OneLLM: One Framework to Align All Modalities with Language https://fathinah.medium.com/review-onellm-one-framework-to-align-all-modalities-with-language-b5c924dde825 | |||
| 19:14 | Introduction to Language Model Merging https://ai.plainenglish.io/introduction-to-language-model-merging-2e88b80e190b | |||
| 19:10 | Serving Large models (part one): VLLM, LLAMA CPP Server, and SGLang https://blog.gopenai.com/serving-large-models-part-one-vllm-llama-cpp-server-and-sglang-3a079af6966e | |||
| 19:08 | Linux Foundation Backs Open Source LLM Initiative https://thenewstack.io/linux-foundation-backs-open-source-llm-initiative/ | |||
| 19:07 | Digitalizando tus Finanzas. De imágenes (o PDFs) a datos estructurados: OCR vs LLMs https://medium.com/@jddam/digitalizando-tus-finanzas-de-im%C3%A1genes-o-pdfs-a-datos-estructurados-ocr-vs-llms-26515a3f2fe2 | |||
| 19:07 | Anthropic AI Claude’s SEO Optimization Impact https://medium.com/@tomskiecke/anthropic-ai-claudes-seo-optimization-impact-2cf7e424a7dc | |||
| 19:04 | LLM Architectures Explained: Word Embeddings (Part 2) https://medium.com/@vipra_singh/llm-architectures-explained-word-embeddings-part-2-ff6b9cf1d82d | |||
| 18:49 | How ChatGPT Works: A Complete Explanation https://medium.com/@seekmeai/how-chatgpt-works-a-complete-explanation-607fd61129de | |||
| 18:48 | How I Built a Language Translator Using LangChain and Few-Shot Learning https://ravjot03.medium.com/how-i-built-a-language-translator-using-langchain-and-few-shot-learning-287ebd08ca4d | |||
| 18:24 | Mastering RAG: A Deep Dive into Retriever https://medium.com/@shravankoninti/mastering-rag-a-deep-dive-into-retriever-2ac7957106b7 | |||
| 18:10 | Top 8 LLM+RAG Use Cases in Finance Domain https://medium.com/@simranjeetsingh1497/top-8-llm-rag-use-cases-in-finance-domain-bdf4a2eb58d5 | |||
| 18:03 | Learn Prompt Engineering in 5 Minutes https://medium.com/@sundar.g.ramamurthy/learn-prompt-engineering-in-5-minutes-3349875c6598 | |||
| 17:33 | LLM Pre-training Vs. Fine-Tuning https://medium.com/@pranav.kushare2001/llm-pre-training-vs-fine-tuning-b6a3335b1b6b | |||
| 17:21 | My AI Chatbot Is Better Than Yours! At Least in One Way Yours Can’t Even Do https://michael-mcanally.medium.com/my-ai-chatbot-is-better-than-yours-at-least-in-one-way-yours-cant-even-do-b1fd2192a0b1 | |||
| 17:16 | Sam Altman Is Battling with Governments over Your Eyes https://www.wsj.com/tech/sam-altman-openai-humanness-iris-scanning-4d0e1dab | |||
| 17:15 | Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs https://medium.com/@EleventhHourEnthusiast/zero-shot-fact-checking-with-semantic-triples-and-knowledge-graphs-6f677e49b7af | |||
| 16:59 | Subverting the System: The Danger of Prompt Injection https://medium.com/@mitanshugarg/subverting-the-system-the-danger-of-prompt-injection-c6797fa7b040 | |||
| 16:54 | Build Free, Build Reliably, Build Proud: Road to LLM Observability https://medium.com/@namirasunia/build-free-build-reliably-build-proud-road-to-llm-observability-c6abf1f320ee | |||
| 16:50 | Top Open-Source Large Language Models Shaping AI Today https://levelup.gitconnected.com/top-open-source-large-language-models-shaping-ai-today-f563d0e67ebf | |||
| 16:50 | xAI: Grok-2 shocks the world of AI https://levelup.gitconnected.com/xai-grok-2-shocks-the-world-of-ai-201f7316976d | |||
| 16:15 | Create Sentiment Analyzer using LLM Model https://medium.com/codex/create-sentiment-analyzer-using-llm-model-8a7829ca22ca | |||
| 15:55 | An LLM Approach to Continuous Learning (Part 1 of 4) https://medium.com/@desmond2112/an-llm-approach-to-continuous-learning-part-1-of-4-173684065608 | |||
| 15:53 | Behind HuggingFace Transformer Pipeline https://ai.gopubby.com/behind-huggingface-transformer-pipeline-9f2d086cd9cf | |||
| 15:51 | This Projects made Me kick Start into Machine learning; https://anilbiyya47.medium.com/this-projects-made-me-kick-start-into-machine-learning-6270d28e14bd | |||
| 15:50 | Building LLM functionality made easy with AWS Bedrock (Part II) https://medium.com/@balzs.bence/building-llm-functionality-made-easy-with-aws-bedrock-part-ii-741cb58f3a5e | |||
| 15:16 | Elevating Search with Retrieval-Augmented Generation (RAG) Systems: Techniques and Best Practices https://medium.com/@pankajbist10/elevating-search-with-retrieval-augmented-generation-rag-systems-techniques-and-best-practices-83dc2e6ff88d | |||
| 15:10 | Show HN: AdalFlow: The library to build and auto-optimize any LLM task pipeline https://github.com/SylphAI-Inc/AdalFlow | |||
| 14:40 | LLM server for inference https://medium.com/@mahernaija/llm-server-for-inference-318620dbbc37 | |||
| 14:34 | Multi-Niveau Response Structuring (MNRS) Prompting https://medium.com/@martino.bettucci/multi-niveau-response-structuring-mnrs-prompting-0eab0147e227 | |||
| 14:21 | LLM can be your startup partner https://generativeai.pub/llm-can-be-your-startup-partner-5057a21eda75 | |||
| 14:19 | Building Local RAG:From Start to Finish https://generativeai.pub/building-local-rag-from-start-to-finish-a61aa5d3a653 | |||
| 14:14 | RAG - Reworking Reranking https://medium.com/@rjnclarke/rag-reworking-reranking-182ff0d04755 | |||
| 14:03 | The Evolution of SQL https://towardsdatascience.com/the-evolution-of-sql-8d017ce566ff | |||
| 13:52 | Run Self hosted nvidia NIM https://medium.com/@mahernaija/run-self-hosted-nvidia-nim-d72ab53a13d0 | |||
| 13:50 | Which Metrics Should You Monitor for Large Language Model Performance? https://medium.com/@mahernaija/which-metrics-should-you-monitor-for-large-language-model-performance-b481ca660f94 | |||
| 13:49 | STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs https://medium.com/@EleventhHourEnthusiast/stage-simplified-text-attributed-graph-embeddings-using-pre-trained-llms-d4c163d2fe19 | |||
| 13:36 | 5 Best Practices in RAG https://medium.com/@shribadal/5-best-practices-in-rag-265777e60ad4 | |||
| 12:40 | LLM ops : GPU VRAM Requirements for Large Language Models LLM https://medium.com/@mahernaija/llm-ops-gpu-vram-requirements-for-large-language-models-llm-4eb7b827e194 | |||
| 12:29 | The Dunning-Kruger Effect and LLMs: Confidence vs. Competence in AI https://hammadulhaq.medium.com/the-dunning-kruger-effect-and-llms-confidence-vs-competence-in-ai-e882866366de | |||
| 12:29 | The Dunning-Kruger Effect and LLMs: Confidence vs. Competence in AI https://medium.com/geekculture/the-dunning-kruger-effect-and-llms-confidence-vs-competence-in-ai-e882866366de | |||
| 12:24 | Mastering RAG: A Deep Dive into Embeddings https://medium.com/@shravankoninti/mastering-rag-a-deep-dive-into-embeddings-b78782aa1259 | |||
| 12:23 | A Domain-Specific LLM Project. How to Make AI Generate Text. https://blog.stackademic.com/a-domain-specific-llm-project-how-to-make-ai-generate-text-7c5491063365 | |||
| 12:01 | Streamline Your LLM Evaluation: A Step-by-Step Guide to RAG Metrics with Streamlit https://pub.towardsai.net/streamline-your-llm-evaluation-a-step-by-step-guide-to-rag-metrics-with-streamlit-38ed9efbdc9a | |||
| 11:16 | What is Prompt Caching : Reduce LLM cost by 90%! https://medium.com/@med.el.harchaoui/what-is-prompt-caching-reduce-llm-cost-by-90-ba1e129cda42 | |||
| 11:08 | LLM Model Composition from scratch https://medium.com/yugen-ai-technology-blog/llm-model-composition-5ca3ad34cf64 | |||
| 10:48 | Observations on the State of Affairs in Legal Tech https://falkm.medium.com/observations-on-the-state-of-affairs-in-legal-tech-66f82fa90bbf | |||
| 10:37 | Rootless mode https://medium.com/@mahernaija/rootless-mode-fbf63c00a50d | |||
| 10:31 | Jacob: Three bubble tops from AI, restoring a buildup all consumed the fastest https://medium.com/@jacobpalmers/jacob-three-bubble-tops-from-ai-restoring-a-buildup-all-consumed-the-fastest-344758f99735 | |||
| 10:24 | An Introduction to Legal AI https://falkm.medium.com/an-introduction-to-legal-ai-3219c391f730 | |||
| 10:14 | Demystifying Large Language Models https://falkm.medium.com/demystifying-large-language-models-a4f5aad2a3cd | |||
| 09:59 | GraphRAG: The idea and the implication https://medium.com/@tsunhanchiang/graphrag-the-idea-and-the-implication-7bbe13c25ab2 | |||
| 09:49 | Accelerating Large Language Models with TensorRT-LLM https://blog.gopenai.com/accelerating-large-language-models-with-tensorrt-llm-db928323ddbf | |||
| 09:41 | Streamlining Your AI Development with a Unified LLM Factory in Python https://medium.com/@alwinraju/streamlining-your-ai-development-with-a-unified-llm-factory-in-python-69ba97cd2bc2 | |||
| 09:26 | LLM Architectures — the building blocks https://medium.com/@baronlior/llm-architectures-the-building-blocks-759796992367 | |||
| 09:11 | Mastering RAG: A Deep Dive into Text Splitting https://medium.com/@shravankoninti/mastering-rag-a-deep-dive-into-text-splitting-fafeffdcc00d | |||
| 09:02 | Gen AI @ Work https://medium.com/@sabeaux/gen-ai-work-279cea106081 | |||
| 08:53 | Hugging Words: How the NLP Pipeline Transforms Text into Insights https://medium.com/@durgeshgurnani/hugging-words-how-the-nlp-pipeline-transforms-text-into-insights-b1ef876296da | |||
| 08:31 | Llama3.1 405B Modelini Ücretsiz Kullanalım! https://medium.com/@cakirduygu/llama3-1-405b-modelini-%C3%BCcretsiz-kullanal%C4%B1m-a5c93dfd8de5 | |||
| 08:14 | Beyond Model Size: The Future of LLM Optimisation https://medium.com/@haberlah/beyond-model-size-the-future-of-llm-optimisation-af7564daff29 | |||
| 08:04 | Aquila2: Advanced Bilingual Language Models Ranging from 7 to 70 Billion Parameters https://www.marktechpost.com/2024/08/18/aquila2-advanced-bilingual-language-models-ranging-from-7-to-70-billion-parameters/ | |||
| 07:58 | This AI Paper from John Hopkins Introduces Continual Pre-training and Fine-Tuning for Enhanced LLM Performance https://www.marktechpost.com/2024/08/18/this-ai-paper-from-john-hopkins-introduces-continual-pre-training-and-fine-tuning-for-enhanced-llm-performance/ | |||
| 07:57 | Prompt Injection Defense: Fortifying AI app at the Application Level https://medium.com/@hugoblanc.blend/prompt-injection-defense-fortifying-ai-app-at-the-application-level-0a08174d1bcf | |||
| 07:49 | Understanding Implicit Chain of Thought Reasoning via Knowledge Distillation https://medium.com/@muhammadsaimahmed88/understanding-implicit-chain-of-thought-reasoning-via-knowledge-distillation-777faf8ec117 | |||
| 07:43 | Mastering RAG Fusion in Simple Steps: A Deep Dive into Retrieval-Augmented Generation” https://bobrupakroy.medium.com/mastering-rag-fusion-in-simple-steps-a-deep-dive-into-retrieval-augmented-generation-cfd0c61079a0 | |||
| 07:35 | DSPy Guide: Running your Project on Local Models (Part 1) https://medium.com/@gayanukaamarasuriya/dspy-guide-running-your-project-on-local-models-part-1-d4dc22453620 | |||
| 06:55 | Enhancing domain-specific RAG systems https://medium.com/@simeon.emanuilov/enhancing-domain-specific-rag-systems-54a42da8e55a | |||
| 06:01 | How to Get a Batching API Like OpenAI for Open-Source Models https://blog.cuminai.com/how-to-get-a-batching-api-like-openai-for-open-source-models-824529788a49 | |||
| 05:50 | Summary Blog: Self-Taught Evaluators https://aashi-dutt3.medium.com/summary-blog-self-taught-evaluators-a37c1e4f6e8f | |||
| 05:41 | RAGChecker: A Fine-Grained Evaluation Framework for Diagnosing Retrieval and Generation Modules in RAG https://www.marktechpost.com/2024/08/17/ragchecker-a-fine-grained-evaluation-framework-for-diagnosing-retrieval-and-generation-modules-in-rag/ | |||
| 05:09 | Leveraging Langchain and AWS Bedrock for Seamless Multi-LLM Integration https://medium.com/@huzaifatahir7524/leveraging-langchain-and-aws-bedrock-for-seamless-multi-llm-integration-c7619d0f8b6e | |||
| 04:20 | RLHF vs. DPO: Choosing the Method for LLMs Alignment Tuning https://medium.com/@baicenxiao/rlhf-vs-dpo-choosing-the-method-for-llm-alignment-tuning-66f45ef3d4b5 | |||
| 03:00 | Massive Energy for Massive GPU Empowering AI https://geozhang.medium.com/massive-energy-for-massive-gpu-empowering-ai-dff59ae1da44 | |||
| 02:43 | Maximizing LLM Accuracy for Production: A Practical Guide https://angelina-yang.medium.com/maximizing-llm-accuracy-for-production-a-practical-guide-2cb2b886e91c | |||
| 02:41 | Let’s debate AGI: Can a Turing machine simulate the human brain? https://medium.com/@sharvanath/lets-debate-agi-can-a-turing-machine-simulate-the-human-brain-086ea643c443 | |||
| 01:31 | A Beginner’s Guide to LLMs — What’s a Large-Language Model and How Does it Work? https://medium.com/@be_likedeep/a-beginners-guide-to-llms-what-s-a-large-language-model-and-how-does-it-work-d768638132c3 | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803