LLM News and Articles
| Monday, 2024-07-15 | ||||
| 20:04 | Show HN: Mutahunter – Fast, language agnostic, software testing using LLM agents https://mutahunter.ai | |||
| 19:26 | txtai 7.3 released: Adds new RAG Web Apps and streaming LLM/RAG support https://pypi.org/project/txtai/ | |||
| 18:45 | Multi Turn Goal Based Agents with Large Language Models (with practical use case) https://medium.com/@nayan.j.paul/multi-turn-goal-based-agents-with-large-language-models-with-practical-use-case-49a78fcc79c4 | |||
| 18:44 | Large Language Models: The Future of Communication? https://medium.com/@jalpeshvasa/large-language-models-the-future-of-communication-80924298ef47 | |||
| 18:36 | Instructor-Go – Structured LLM Outputs in Go https://github.com/instructor-ai/instructor-go | |||
| 18:18 | The Secret Sauce of AI: Unveiling the Power of Prompt Engineering https://parthamishra1132.medium.com/the-secret-sauce-of-ai-unveiling-the-power-of-prompt-engineering-32b1a43d25e7 | |||
| 17:51 | Advanced RAG techniques // again https://sbagency.medium.com/advanced-rag-techniques-again-1816bf4f3b80 | |||
| 17:18 | Exploring NVIDIA NeMo: A Comprehensive Framework for AI Development https://towardsdev.com/exploring-nvidia-nemo-a-comprehensive-framework-for-ai-development-1323ea5f06cc | |||
| 17:10 | Prepare Instruction Dataset to Fine-Tune Large Language Models: Practical Guide for OpenAI Models https://medium.com/@NLPEngineers/prepare-instruction-dataset-to-fine-tune-large-language-models-practical-guide-for-openai-models-a4edb2ba3a31 | |||
| 16:48 | GenAI Powered Service Curator https://medium.com/@TheSocureTechnologyBlog/genai-powered-service-curator-472ba5c6ae8e | |||
| 16:45 | Optimizing Computational Resources with GaiaNet https://medium.com/@zulfanbaswedan/optimizing-computational-resources-with-gaianet-f6d40971f4c1 | |||
| 16:40 | Ensuring Precision of LLMs in Medical Domain: The Challenge of Drug Name Swapping https://medium.com/john-snow-labs/ensuring-precision-of-llms-in-medical-domain-the-challenge-of-drug-name-swapping-d7f4c83d55fd | |||
| 16:38 | The Illusion of Openness: How AI Companies Are Gaming the System https://medium.com/@alan-jones/the-illusion-of-openness-how-ai-companies-are-gaming-the-system-3032598d2947 | |||
| 16:17 | AI Agents: How Klarna replaced the work of 700 Humans in 1 Month https://medium.com/altar-io/ai-agents-how-klarna-replaced-the-work-of-700-humans-in-1-month-dec8c6ede184 | |||
| 16:11 | Automate Prompt Engineering with Prompt Debugger https://medium.com/google-cloud/automate-prompt-engineering-with-prompt-debugger-22efd4366f23 | |||
| 16:10 | Rise Of Nvidia -The iPhone moment for AI. https://medium.com/@ieeecs/rise-of-nvidia-the-iphone-moment-for-ai-29fefd4d8c5f | |||
| 15:51 | How We Deployed our Multi-Agent Flow to LangGraph Cloud https://blog.langchain.dev/how-we-deployed-our-multi-agent-flow-to-langgraph-cloud-2/ | |||
| 15:32 | ChatGPT is a blurry JPEG of the web (2023) https://www.newyorker.com/tech/annals-of-technology/chatgpt-is-a-blurry-jpeg-of-the-web | |||
| 15:27 | Reflections on the 2024 AI Engineering World’s Fair https://medium.com/99p-labs/reflections-on-the-2024-ai-engineering-worlds-fair-d93eee7239f5 | |||
| 15:26 | Your Voice Assistant is MMETYT https://medium.com/sensory-perspectives/your-voice-assistant-is-mmetyt-4c0a544cb231 | |||
| 14:56 | Google Summer of Code with Sugar Labs(Week 6) https://medium.com/@mubashirsharik01/google-summer-of-code-with-sugar-labs-week-6-13a68ccc5ae6 | |||
| 14:38 | How to Make ChatGPT Call Your Custom Code https://medium.com/@aldo.zorzi/how-to-make-chatgpt-call-your-custom-code-25b920b51902 | |||
| 14:33 | eBook on building LLM system evals https://forestfriends.tech/ | |||
| 14:24 | Ajuste fino do Llama 3 para conversas médicas: um guia passo a passo https://medium.com/@rafaelrangel456/ajuste-fino-do-llama-3-para-conversas-m%C3%A9dicas-um-guia-passo-a-passo-21e892ad53a2 | |||
| 14:12 | Talking Tech: The Rise of Large Language Models https://medium.com/@aagamshah2501/talking-tech-the-rise-of-large-language-models-8ad7986d47b2 | |||
| 14:11 | Enhancing Law Firm Efficiency through Data Strategy and Modernization https://medium.com/@kosta.hatzopoulos/enhancing-law-firm-efficiency-through-data-strategy-and-modernization-df9b9aba8ee3 | |||
| 14:07 | poetry2image — Can Large Models Illustrate Poetry? https://medium.com/@rafafagas/poetry2image-can-large-models-illustrate-poetry-442a43215ce4 | |||
| 13:54 | The Jobs to be Done (JTBD) Framework: From Milkshakes to AI https://ai.plainenglish.io/the-jobs-to-be-done-jtbd-framework-from-milkshakes-to-ai-a7e8bea166b7 | |||
| 13:33 | Train LLM to answer question related to any data using Pandas AI Agent https://medium.com/analytics-vidhya/train-llm-to-answer-question-related-to-any-data-using-pandas-ai-agent-706e0c1a57d6 | |||
| 12:43 | Converting a WordPress page to NextJS using Generative AI https://medium.com/brain-station-23/converting-a-wordpress-page-to-nextjs-using-generative-ai-2e533d79b9d8 | |||
| 12:31 | What's the difference between LLM API Providers? https://blog.lytix.co/posts/difference-between-api-providers | |||
| 12:30 | Dialogue with Claude 4 https://medium.com/@chatc3po/dialogue-with-claude-4-af73390689d6 | |||
| 12:10 | Why Positional Emneddings are Required in Attention Models.? https://medium.com/@mujeeb.merwat/why-positional-emneddings-are-required-in-attention-models-4ccaf91d3f76 | |||
| 12:03 | Mastering LLM Chatbot Development with Google’s Gemma | ML Study Jams Day 3 https://medium.com/@tfugislamabad/mastering-llm-chatbot-development-with-googles-gemma-ml-study-jams-day-3-294430fd1b69 | |||
| 11:54 | Harnessing Language Potential: Practical Steps to Incorporating Off-the-Shelf Large Language Models… https://medium.com/@sushant_4414/harnessing-language-potential-practical-steps-to-incorporating-off-the-shelf-large-language-models-b96789f375b2 | |||
| 11:16 | Choosing The Right LLM Framework for Your AI Application: LangChain, LlamaIndex, or Haystack? https://jillanisofttech.medium.com/choosing-the-right-llm-framework-for-your-ai-application-langchain-llamaindex-or-haystack-07924fc68d92 | |||
| 11:11 | LLM Model Comparison: Your Comprehensive Guide https://medium.com/@marketing_novita.ai/llm-model-comparison-your-comprehensive-guide-97034188c1d7 | |||
| 11:02 | How to Setup the Cheshire Cat on Your Home Server with Tipi https://medium.com/@kod.aline/how-to-setup-the-cheshire-cat-on-your-home-server-with-tipi-eb83b687f799 | |||
| 11:01 | Unveiling Nous Capybara 34B and Other Models by NousResearch https://medium.com/@marketing_novita.ai/unveiling-nous-capybara-34b-and-other-models-by-nousresearch-02ef8c92b2cf | |||
| 11:01 | Diving Into dolphin-2.1-Mistral-7B and Alternative Uncensored LLMs https://medium.com/@marketing_novita.ai/diving-into-dolphin-2-1-mistral-7b-and-alternative-uncensored-llms-20202f9a7233 | |||
| 10:56 | A 4-Stage Guide to Identify Insecure Output Handling Exploits in LLMs https://medium.com/wix-engineering/a-4-stage-guide-to-identify-insecure-output-handling-exploits-in-llms-7cf72df8908a | |||
| 10:46 | New, old and new-old web vulnerabilities in the Era of LLMs — real-life examples https://medium.com/securing/new-old-and-new-old-web-vulnerabilities-in-the-era-of-llms-real-life-examples-77d99208c60a | |||
| 10:34 | Enhance Laptop Performance with Top 10 Uncensored LLMs https://medium.com/@agarapuramesh/enhance-laptop-performance-with-top-10-uncensored-llms-736d47b466c2 | |||
| 10:31 | AI Was Just Around the Corner https://medium.com/@loreviglietti/ai-was-just-around-the-corner-befb9a587c18 | |||
| 10:26 | 5 Valuable Lessons I Learned from Integrating AI Solutions https://medium.com/@azouzhamza2004/5-valuable-lessons-i-learned-from-integrating-ai-solutions-c40696d8b3ce | |||
| 10:19 | Understanding Reranking: Techniques, Advantages, and Disadvantages https://medium.com/@srikanthdongalajsr/understanding-reranking-techniques-advantages-and-disadvantages-eb0b157f0b6b | |||
| 09:28 | Implementing a Semantic Cache for your LLM app with CosmosDB https://medium.com/microsoftazure/implementing-a-semantic-cache-for-your-llm-app-with-cosmosdb-84a70614c03d | |||
| 09:15 | Researchers from KAIST and KT Corporation Developed STARK Dataset and MCU Framework: Long-Term Personalized Interactions and Enhanced User Engagement in Multimodal Conversations https://www.marktechpost.com/2024/07/15/researchers-from-kaist-and-kt-corporation-developed-stark-dataset-and-mcu-framework-long-term-personalized-interactions-and-enhanced-user-engagement-in-multimodal-conversations/ | |||
| 08:50 | LORA for FineTuning LLMs https://medium.com/@shwet.prakash97/lora-for-finetuning-llms-5810f7fab8a2 | |||
| 08:07 | Harnessing the Power of Azure AI Search as a Vector Store https://medium.com/@ruplagakshay/harnessing-the-power-of-azure-ai-search-as-a-vector-store-42c7d9150a43 | |||
| 08:05 | Plagiarism: AI-Generated Content vs Ghostwriting Debate https://immodalbard.medium.com/plagiarism-ai-generated-content-vs-ghostwriting-debate-5b43aa4a4178 | |||
| 08:03 | LangSmith, LangGraph Cloud & LangGraph Studio https://cobusgreyling.medium.com/langsmith-langgraph-cloud-langgraph-studio-99631dae1be8 | |||
| 07:56 | Training small open-source LLM for Text to SQL generation https://medium.com/@vdubuschanson/training-small-open-source-llm-for-text-to-sql-generation-7586d6084346 | |||
| 07:42 | From RAG 1.0 to RAG 2.0, What Goes Around Comes Around https://medium.com/@infiniflowai/from-rag-1-0-to-rag-2-0-what-goes-around-comes-around-a9b0b6418415 | |||
| 07:37 | AutoRAG-HP explained by AutoRAG dev : understand with baseball https://medium.com/@autorag/autorag-hp-explained-by-autorag-dev-understand-with-baseball-831f4f26c58b | |||
| 07:32 | ScrapeGraph and Jina AI (Reader): Revolutionizing Web Scraping and Data Processing https://medium.com/@kram254/scrapegraph-and-jina-ai-reader-revolutionizing-web-scraping-and-data-processing-a19142483314 | |||
| 07:31 | Understanding FlashAttention-3: One of the Most Important Algortihms to Make Transformers Fast https://pub.towardsai.net/understanding-flashattention-3-one-of-the-most-important-algortihms-to-make-transformers-fast-7d21b0f6e6a4 | |||
| 06:55 | Asalam Alaikom Brothers and Sisters , and welcome back to our exciting series where we’re… https://medium.com/@ayoubkirouane3/asalam-alaikom-brothers-and-sisters-and-welcome-back-to-our-exciting-series-where-were-619485b6ea35 | |||
| 06:45 | Efficient Deployment of Large-Scale Transformer Models: Strategies for Scalable and Low-Latency Inference https://www.marktechpost.com/2024/07/14/efficient-deployment-of-large-scale-transformer-models-strategies-for-scalable-and-low-latency-inference/ | |||
| 06:41 | Flywheels for LLM Applications https://medium.com/@yugank.aman/flywheels-for-llm-applications-28ac80160b66 | |||
| 06:17 | QA System Design with LLMs: Practical Instruction Fine-Tuning Gen3 and Gen4 models https://admantium.medium.com/qa-system-design-with-llms-practical-instruction-fine-tuning-gen3-and-gen4-models-fcf01090eef8 | |||
| 06:06 | Data Worldwide is Running Out! https://medium.com/@avlike/data-worldwide-is-running-out-25920c6fa9e6 | |||
| 05:34 | Scale Won’t Turn LLMs Into AGI or Superintelligence https://medium.com/aiguys/scale-wont-turn-llms-into-agi-or-superintelligence-75be01ed9471 | |||
| 05:24 | Choosing Between LLMs and SLMs: A Guide for Developers https://blog.stackademic.com/choosing-between-llms-and-slms-a-guide-for-developers-1b01726b0172 | |||
| 04:48 | Consistent LLM Model APIs with LiteLLM https://medium.com/@charlie.m.truong/consistent-llm-model-apis-with-litellm-9f81b042ae7b | |||
| 04:29 | Better with a Mixture of (AI) Experts https://medium.com/@ameliawoodward/better-with-a-mixture-of-ai-experts-0e4e8bbb4418 | |||
| 03:36 | Why Mamba: Transformer v.s. Mamba https://medium.com/@justinliu1205/transformer-v-s-mamba-5a2b38cc7810 | |||
| 03:02 | Q & A Gen AI Application by Fine Tuning LLM Using RAG Technique https://medium.com/@pankaja.ambalgi/q-a-gen-ai-application-by-fine-tuning-llm-using-rag-technique-f8b9757a2eca | |||
| 02:44 | ETH Zurich Researchers Introduced EventChat: A CRS Using ChatGPT as Its Core Language Model Enhancing Small and Medium Enterprises with Advanced Conversational Recommender Systems https://www.marktechpost.com/2024/07/14/eth-zurich-researchers-introduced-eventchat-a-crs-using-chatgpt-as-its-core-language-model-enhancing-small-and-medium-enterprises-with-advanced-conversational-recommender-systems/ | |||
| 02:29 | RAGFlow Enters Agentic Era https://medium.com/@infiniflowai/ragflow-enters-agentic-era-4ad96164fbf3 | |||
| 00:34 | RoboMorph: Evolving Robot Design with Large Language Models and Evolutionary Machine Learning Algorithms for Enhanced Efficiency and Performance https://www.marktechpost.com/2024/07/14/robomorph-evolving-robot-design-with-large-language-models-and-evolutionary-machine-learning-algorithms-for-enhanced-efficiency-and-performance/ | |||
| 00:11 | Chatbot Role Play with Mistral’s Prefixes https://medium.com/@izzybreezylearn/chatbot-role-play-with-mistrals-prefixes-99a4915610fd | |||
| Sunday, 2024-07-14 | ||||
| 22:48 | Agents for code generation https://medium.com/@JacekWo/agents-for-code-generation-bf1d4668e055 | |||
| 22:27 | What is RLCD (Reinforcement Learning from Contrast Distillation) for Language Model Alignment? https://medium.com/@jelkhoury880/what-is-rlcd-reinforcement-learning-from-contrast-distillation-for-language-model-alignment-c32104613419 | |||
| 20:58 | Simplest Introduction to RAG and LangChain: Building a Cricket Chatbot Part I https://medium.com/@abhiyanampally/simplest-introduction-to-rag-and-langchain-building-a-cricket-chatbot-part-i-0b98a658ee6f | |||
| 20:16 | LLM Agents Demystified https://medium.com/lightrag/llm-agents-demystified-8e2a62c185fa | |||
| 19:52 | LLMs Are Certainly Uncertain — Part I https://sentientclippy.medium.com/llms-are-certainly-uncertain-eae57122562a | |||
| 19:45 | Split to Succeed: Crafting Train-Test Datasets for Optimal fine-tuning of an LLMs https://shift.zone/split-to-succeed-crafting-train-test-datasets-for-optimal-fine-tuning-of-an-llms-6c38922c3c74 | |||
| 19:40 | Are Large Language Models Emotionally Intelligent? Don’t Hold Your Breath! https://medium.com/thecuriousleader/are-large-language-models-emotionally-intelligent-dont-hold-your-breath-8aa806226f1f | |||
| 19:38 | Inference of Error Specifications and Bug Detection Using Structural Similarity [pdf] https://www.usenix.org/system/files/sec24fall-prepub-93-dossche.pdf | |||
| 19:31 | The Neurological Basis of Enhanced Threat Detection and Response in Individuals with Asperger's… https://medium.com/@woke.party/the-neurological-basis-of-enhanced-threat-detection-and-response-in-individuals-with-aspergers-976c7652e715 | |||
| 19:06 | OpenAI reportedly nears breakthrough with "reasoning" AI https://arstechnica.com/information-technology/2024/07/openai-reportedly-nears-breakthrough-with-reasoning-ai-reveals-progress-framework/ | |||
| 18:38 | Summarize articles with Cloudflare Workers AI LoRAs https://medium.com/@lizziepika/summarize-articles-with-cloudflare-workers-ai-loras-138a2a490d03 | |||
| 18:14 | AI Agents and Agentic Workflows as the next evolution of AI https://postbio.medium.com/ai-agents-and-agentic-workflows-as-the-next-evolution-of-ai-5d27f7943a90 | |||
| 18:14 | Leveraging Large Language Models (LLMs) for Legal Document Analysis https://medium.com/@asimsultan2/leveraging-large-language-models-llms-for-legal-document-analysis-721131508a36 | |||
| 18:12 | OMG! Only Two Steps to Make Your Own Chatbot https://medium.com/@kagglepro.llc/omg-only-two-steps-to-make-your-own-chatbot-288b1866b7ca | |||
| 18:09 | Transformer Explained from Scratch : Practical Insights into Endocer — Part 1 https://medium.com/@vritansh14/transformer-explained-from-scratch-practical-insights-into-endocer-part-1-5af676e6e967 | |||
| 17:46 | Why Cultural Artifacts gifted to the UN were created — A comparison of several Large Language… https://mehtaplus.medium.com/why-cultural-artifacts-gifted-to-the-un-were-created-a-comparison-of-several-large-language-0585fc819999 | |||
| 17:37 | Show HN: I built a LLM-aware proxy server in Golang https://github.com/Proxati/llm_proxy | |||
| 17:30 | ProductizingAI — GraphRAG https://medium.com/@ppbhatt500/productizingai-graphrag-2ea2f3d2838a | |||
| 17:24 | Best Retrieving and Data Ingestion Process for Your RAG https://levelup.gitconnected.com/best-retrieving-and-data-ingestion-process-for-your-rag-cc02f7ab722b | |||
| 17:07 | Branch-and-Merge Method: Enhancing Language Adaptation in AI Models by Mitigating Catastrophic Forgetting and Ensuring Retention of Base Language Capabilities while Learning New Languages https://www.marktechpost.com/2024/07/14/branch-and-merge-method-enhancing-language-adaptation-in-ai-models-by-mitigating-catastrophic-forgetting-and-ensuring-retention-of-base-language-capabilities-while-learning-new-languages/ | |||
| 16:32 | Decoding the AI Mathematical Olympiad (Kaggle) https://medium.com/@gYuntian/decoding-the-ai-mathematical-olympiad-kaggle-8414fc4d99a0 | |||
| 15:21 | Exploring OpenAI Models and Noteworthy Alternatives: Enhancing AI Capabilities https://medium.com/@siladityaghosh/exploring-openai-models-and-noteworthy-alternatives-enhancing-ai-capabilities-cdc40b7d0bcd | |||
| 14:54 | Understanding On sLLM and LLM https://medium.com/@jaganjaganps46/understanding-on-sllm-and-llm-f33bb84def4e | |||
| 14:53 | X-RAG https://medium.com/@sigmoids/x-rag-5e3f768b7193 | |||
| 14:31 | SEO Writing AI : Free 1000 Blog Post Creation at Once https://medium.com/domealo/seo-writing-ai-free-1000-blog-post-creation-at-once-904120ce0b10 | |||
| 14:20 | Private GPT: Fully Offline with Ollama https://medium.com/@lalithkmr94/private-gpt-fully-offline-with-ollama-447d7432658d | |||
| 13:48 | Collaborative Strategies for Large Language Models https://medium.com/@jelkhoury880/collaborative-strategies-for-large-language-models-a7a445e83fe3 | |||
| 13:41 | Distributed LLama3 Inference https://github.com/evilsocket/llama3-cake | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803