LLM News and Articles
Saturday, 2024-09-21 | ||||
04:02 | AI, ML, LLMs, GenAI Demystified: Decoding the Buzzwords for the Everyday Professionals https://medium.com/@karanrajwanshi/ai-ml-llms-genai-demystified-decoding-the-buzzwords-for-the-everyday-professionals-98acb0cb340d | |||
03:54 | Spyware Injection into ChatGPT's Long-Term Memory (SpAIware) https://embracethered.com/blog/posts/2024/chatgpt-macos-app-persistent-data-exfiltration/ | |||
03:40 | Late Chunking: Embedding First Chunk Later — Long-Context Retrieval in RAG Applications https://medium.com/@bavalpreetsinghh/late-chunking-embedding-first-chunk-later-long-context-retrieval-in-rag-applications-3a292f6443bb | |||
03:18 | How to Use Signoz for Effective Application Monitoring https://medium.com/@asakisakamoto02/how-to-use-signoz-for-effective-application-monitoring-c6fa5992f519 | |||
02:43 | Choosing Between LLM Agent Frameworks https://towardsdatascience.com/choosing-between-llm-agent-frameworks-69019493b259 | |||
02:37 | AI and Agile https://medium.com/@hackerm0m/ai-and-agile-648067d77876 | |||
02:16 | How to Use Two Way API Integration for Seamless Data Transfer https://medium.com/@tayloroakley/how-to-use-two-way-api-integration-for-seamless-data-transfer-3a466ed257a1 | |||
01:45 | ChatGPT 4o Pricing, Benchmarks, and Usage Guide for LLMs https://medium.com/@getanakin/chatgpt-4o-pricing-benchmarks-and-usage-guide-for-llms-a4401cf993cb | |||
01:41 | RAG: Prevenindo Alucinações em Modelos de Linguagem (LLM) https://medium.com/@jonathancristovao13/rag-prevenindo-alucina%C3%A7%C3%B5es-em-modelos-de-linguagem-llm-1df09da20058 | |||
01:26 | Optimizing Information Retrieval: Striking the Balance Between Context, Precision, and Performance https://medium.com/@aigeek001/optimizing-information-retrieval-striking-the-balance-between-context-precision-and-performance-e9cc1decb207 | |||
01:16 | Implementing GraphReader with Neo4j and LangGraph https://towardsdatascience.com/implementing-graphreader-with-neo4j-and-langgraph-e4c73826a8b7 | |||
00:57 | Your Documents Are Trying to Tell You What’s Relevant: Better RAG Using Links https://towardsdatascience.com/your-documents-are-trying-to-tell-you-whats-relevant-better-rag-using-links-386b7433d0f2 | |||
00:26 | How to Use Llama-Cpp-Python with Langchain: A Beginner’s Guide https://medium.com/@garysvenson09/how-to-use-llama-cpp-python-with-langchain-a-beginners-guide-2334c970c299 | |||
Friday, 2024-09-20 | ||||
23:36 | Customizing LLMs with Ollama: Barack Ollama https://medium.com/@rs.ramashelke/customizing-llms-with-ollama-barack-ollama-538b99bc2221 | |||
22:58 | RAG vs Fine-Tuning in AI: Choosing the Right Approach https://usamah1.medium.com/rag-vs-fine-tuning-in-ai-choosing-the-right-approach-e1db611b3879 | |||
22:47 | Stop Guessing! Here’s How Much GPU Memory You REALLY Need for LLMs! https://ai.gopubby.com/stop-guessing-heres-how-much-gpu-memory-you-really-need-for-llms-8e9b02bcdb62 | |||
22:27 | A Brief Introduction to AI: From the Seemingly Wild Predictions of Ray Kurweil to the Current… https://medium.com/@john.narus/a-brief-introduction-to-ai-from-the-seemingly-wild-predictions-of-ray-kurweil-to-the-current-5687975c39b4 | |||
22:16 | How to Use Cloud Integration: Top Examples for Success https://medium.com/@tayloroakley/how-to-use-cloud-integration-top-examples-for-success-d5db3232f99d | |||
22:14 | Can LLMs Reason? https://medium.com/bitgrit-data-science-publication/can-llms-reason-c58a45e17059 | |||
22:05 | Prompt Engineering https://medium.com/@arpita.k20/prompt-engineering-c46ac2324299 | |||
21:45 | Chat GPT-4 Pricing, Benchmarks, and Usage Insights Revealed https://medium.com/@getanakin/chat-gpt-4-pricing-benchmarks-and-usage-insights-revealed-72029802447f | |||
21:15 | Get LLM to Reason before Answering https://medium.com/@gowrias12/get-llm-to-reason-before-answering-736701c3b70a | |||
21:09 | Pirates of the AI Camp — Too Hot For Fall https://medium.com/@tspann/pirates-of-the-ai-camp-too-hot-for-fall-e8591466b7c7 | |||
21:08 | DSPy: The New Revolution in AI Prompting https://medium.com/@cobefinance/dspy-the-new-revolution-in-ai-prompting-03dfa2e11204 | |||
21:03 | 5 Practical Challenges of RAG and Their Mitigation Ideas https://medium.com/@bijit211987/5-practical-challenges-of-rag-and-their-mitigation-ideas-034217d8ed96 | |||
21:03 | MultiPDF Reader using RAG https://sambhavm22.medium.com/multipdf-reader-using-rag-586494c2bb49 | |||
20:54 | What makes o1 different https://waleedk.medium.com/what-makes-o1-different-1e4c0504539d | |||
20:37 | RAG: Retrieval Augmented Generation In-Depth with Code Implementation using Langchain, Langchain… https://medium.com/@devmallyakarar/rag-retrieval-augmented-generation-in-depth-with-code-implementation-using-langchain-llamaindex-1f77d1ca2d33 | |||
20:25 | How to Print Final Prompt Before Invocation in LCEL https://medium.com/@garysvenson09/how-to-print-final-prompt-before-invocation-in-lcel-dec8adb6d5e1 | |||
19:56 | Build a WhatsApp LLM Bot: a Guide for Lazy Solo Programmers https://towardsdatascience.com/build-a-whatsapp-llm-bot-a-guide-for-lazy-solo-programmers-24934d8f5488 | |||
19:19 | How to Generate Effective Near-Text Reviews for SEO https://medium.com/@asakisakamoto02/how-to-generate-effective-near-text-reviews-for-seo-c06bfcf2d28a | |||
18:59 | BFCL V3: LLM Multi-Turn and Multi-Step Function Calling Evaluation https://gorilla.cs.berkeley.edu/blogs/13_bfcl_v3_multi_turn.html | |||
18:52 | The Dawn of Intelligent Autonomy: AI Agents Empowered by OpenAI’s Model o1 https://medium.com/@frankmorales_91352/the-dawn-of-intelligent-autonomy-ai-agents-empowered-by-openais-model-o1-91e9ed13ea55 | |||
18:51 | From zero to hero: leveraging the hidden value of unstructured documents with LLMs https://medium.com/sdg-group/from-zero-to-hero-leveraging-the-hidden-value-of-unstructured-documents-with-llms-72ff932c566e | |||
18:17 | How to Use Freshdesk API with Python Webhooks Tutorial https://medium.com/@tayloroakley/how-to-use-freshdesk-api-with-python-webhooks-tutorial-362f4afd163d | |||
17:55 | Semantic Caching in Generative AI RAG — Optimizing RAGs! https://medium.com/@yashpaddalwar/semantic-caching-in-generative-ai-rag-optimizing-rags-543e246e01d5 | |||
17:45 | ChatGPT-4 Pricing, Benchmarks, and Usage Guide for LLMs https://medium.com/@getanakin/chatgpt-4-pricing-benchmarks-and-usage-guide-for-llms-772735d3fab1 | |||
17:31 | Getting up and running with LLMs on Apple Silicon (M2 and MLX) https://medium.com/@dr.junghoonson/getting-up-and-running-with-llms-on-apple-silicon-m2-and-mlx-223cfe2a3413 | |||
17:25 | Using GPT-4 to generate 100 words consumes up to 3 bottles of water https://www.tomshardware.com/tech-industry/artificial-intelligence/using-gpt-4-to-generate-100-words-consumes-up-to-3-bottles-of-water-ai-data-centers-also-raise-power-and-water-bills-for-nearby-residents | |||
17:23 | Understanding Regularization in Neural Networks https://medium.com/@girimanaskumar1998/understanding-regularization-in-neural-networks-7e09b4380f96 | |||
17:19 | Retrieval Augmented Generation (RAG) https://medium.com/@girimanaskumar1998/retrieval-augmented-generation-rag-094043f91a8a | |||
17:17 | The Acceleration of Self-Improving AI: Towards a New Era in Artificial Intelligence https://medium.com/@christian.schwarz089/the-acceleration-of-self-improving-ai-towards-a-new-era-in-artificial-intelligence-49bc120ae1b3 | |||
17:14 | Evaluating Your RAG Applications: Methods and Metrics https://medium.com/@girimanaskumar1998/evaluating-your-rag-applications-methods-and-metrics-add73d437ce7 | |||
17:05 | The Definitive Guide to Building RAG Apps with LlamaIndex https://medium.com/@girimanaskumar1998/the-definitive-guide-to-building-rag-apps-with-llamaindex-2aaf8df751ef | |||
16:53 | OpenAI’s ChatGPT https://medium.com/@girimanaskumar1998/openais-chatgpt-f3678ab20d38 | |||
16:47 | LangChain Tutorial https://medium.com/@girimanaskumar1998/langchain-tutorial-177dd0568348 | |||
16:35 | Investors pile into OpenAI's B funding round in unprecedented bet https://www.ft.com/content/a8f9bd05-0999-415d-af86-c73e79ad5733 | |||
16:25 | How to Use Langsmith for Monitoring Langchain Applications https://medium.com/@garysvenson09/how-to-use-langsmith-for-monitoring-langchain-applications-ffea867515fb | |||
15:37 | Deep Dive into LangGraph’s Data Enrichment Template: Crafting a Highly Pythonic Future Deployment… https://kilong31442.medium.com/deep-dive-into-langgraphs-data-enrichment-template-crafting-a-highly-pythonic-future-deployment-f2233a54ede4 | |||
15:30 | 📐 A New Neural Architecture (Again) https://www.llmwatch.com/p/a-new-neural-architecture-again | |||
15:25 | AI Terminologies — Easy to understand https://shilpathota.medium.com/ai-terminologies-easy-to-understand-659c67943dec | |||
15:19 | How to Save PyTorch Lightning Checkpoints Every n Epochs https://medium.com/@asakisakamoto02/how-to-save-pytorch-lightning-checkpoints-every-n-epochs-f0cd5642556b | |||
15:17 | AI large models shatter conspiracy theories, gracing the cover of Science. https://medium.com/@yuanyi1119/ai-large-models-shatter-conspiracy-theories-gracing-the-cover-of-science-faf5485fa9d9 | |||
15:16 | Adhering to standard patterns while Generating Code with LLM https://medium.com/@mathangi.nageswar/adhering-to-standard-patterns-while-generating-code-with-llm-fe4875c6080a | |||
15:01 | Machine Learning Is a Misnomer https://medium.com/@tarashekhar97/machine-learning-is-a-misnomer-7d41a95b0271 | |||
14:56 | How to Automate Clustering Pipelines Effectively: Leveraging Automation and LLMs for Clear Business… https://francescogovigli.medium.com/how-to-automate-clustering-pipelines-effectively-leveraging-automation-and-llms-for-clear-business-2291f2f0e865 | |||
14:52 | Data-driven Approach to Building RAG systems https://blog.relari.ai/data-driven-approach-to-building-rag-systems-09fb184596a6 | |||
14:33 | Transformers in NLP: The Backbone of Modern Language Models https://medium.com/@heenaatta19/transformers-in-nlp-the-backbone-of-modern-language-models-87cfac36b357 | |||
14:31 | Build Your Own Chatbot with Vertex AI Agent Builder:A Step-by-Step Guide https://medium.com/@jayesh.bfn/build-your-own-chatbot-with-vertex-ai-agent-builder-a-step-by-step-guide-4b58f44b8c61 | |||
14:31 | Top 5 AI Assistants you should use for coding https://medium.com/@talktorahul.b/top-5-ai-assistants-you-should-use-for-coding-9ec4c8d1828f | |||
14:17 | How to Use Marketing Automation Integration for Success https://medium.com/@tayloroakley/how-to-use-marketing-automation-integration-for-success-b874c8cdab5b | |||
14:07 | How Is Generative AI Shaping Industries and the Future? https://medium.com/@priyanshi03/how-is-generative-ai-shaping-industries-and-the-future-3206aca489a5 | |||
13:54 | ColPali and PLAID- Part 2 https://neerajku.medium.com/colpali-and-plaid-part-2-a316ccee2052 | |||
13:45 | ColPali and PLAID- Part 1 https://neerajku.medium.com/colpali-and-plaid-part-1-45caec3b14d1 | |||
13:45 | Comprehensive Review of Large Language Models: Pricing, Benchmarks, and APIs https://medium.com/@getanakin/comprehensive-review-of-large-language-models-pricing-benchmarks-and-apis-bae87d425f53 | |||
13:02 | Don’t Tell Me to Do My Own Research If You Use ChatGPT to Do Yours https://medium.com/brain-labs/dont-tell-me-to-do-my-own-research-if-you-use-chatgpt-to-do-yours-c57227d26510 | |||
12:44 | “The Essential Data Science Toolbox for Aspiring Professionals” https://medium.com/@nazalina930/the-essential-data-science-toolbox-for-aspiring-professionals-218b93c6460a | |||
12:33 | Introducing FileWizardAi: Organizes your Files with AI-Powered Sorting and Search https://medium.com/@abdennacer.lachiheb.pub/introducing-filewizardai-organizes-your-files-with-ai-powered-sorting-and-search-48f7c6fa1efb | |||
12:25 | How to Deploy LangChain Applications with LangServe https://medium.com/@garysvenson09/how-to-deploy-langchain-applications-with-langserve-2f2cb057ff64 | |||
12:15 | This AI Paper by NVIDIA Introduces NVLM 1.0: A Family of Multimodal Large Language Models with Improved Text and Image Processing Capabilities https://www.marktechpost.com/2024/09/20/this-ai-paper-by-nvidia-introduces-nvlm-1-0-a-family-of-multimodal-large-language-models-with-improved-text-and-image-processing-capabilities/ | |||
12:14 | Leveraging LLMs in the Cloud: From Selection to Deployment with a Focus on Model Size https://medium.com/toyota-connected-india/leveraging-llms-in-the-cloud-from-selection-to-deployment-with-a-focus-on-model-size-23755946c825 | |||
12:13 | My New E-Book: Prompt Engineering Best Practices for Instruction-Tuned LLM https://medium.com/to-data-beyond/my-new-e-book-prompt-engineering-best-practices-for-instruction-tuned-llm-ee17b1182672 | |||
12:04 | Anthropic released the contextual retrieval embedding + BM25 solution, which greatly improved the… https://medium.com/@jenray1986/anthropic-released-the-contextual-retrieval-embedding-bm25-solution-which-greatly-improved-the-542fb04f3571 | |||
11:38 | ChatGPT: How It Works! — Part 1 https://medium.com/@aniketmdinde100/chatgpt-how-it-works-part-1-94dbd1526554 | |||
11:37 | Try Out OpenAI O1 in GitHub Copilot and Models https://github.blog/news-insights/product-news/try-out-openai-o1-in-github-copilot-and-models/ | |||
11:22 | Slimming Down SBERT’s Sentence-Transformers Library https://medium.com/@narenderbeniwal1234/slimming-down-sberts-sentence-transformers-library-29e3f1827ac7 | |||
11:18 | How to Log PyTorch Lightning by Epoch in TensorBoard https://medium.com/@asakisakamoto02/how-to-log-pytorch-lightning-by-epoch-in-tensorboard-260d21d5721f | |||
11:18 | Figuring Out General Specs for Running LLM Models https://medium.com/@narenderbeniwal1234/figuring-out-general-specs-for-running-llm-models-a655f6576412 | |||
11:17 | Unveiling the Arithmetic Capabilities in Large Language Models https://medium.datadriveninvestor.com/unveiling-the-arithmetic-capabilities-in-large-language-models-6abd04871536 | |||
11:12 | Chunking Strategies-The Secret to Organizing Text for AI https://medium.com/@kaviyadharishini21/chunking-strategies-the-secret-to-organizing-text-for-ai-adb0bf88409e | |||
11:02 | OpenAI O1 Preview Weekly Review https://aloea.medium.com/openai-o1-preview-weekly-review-fa2b9c751846 | |||
10:51 | Memory and state in AI agents https://medium.com/motleycrew-ai/memory-and-state-in-ai-agents-39a064ebc2b3 | |||
10:37 | Creating a LangChain Document from a String in Python https://medium.com/@narenderbeniwal1234/creating-a-langchain-document-from-a-string-in-python-cb20fe317ef2 | |||
10:32 | Qwen 2.5 https://augmentedstartups.medium.com/qwen-2-5-610371206c41 | |||
10:21 | Create Test Automation With Playwright Using LangChain Agents https://medium.com/@dtoka/create-test-automation-with-playwright-using-langchain-agents-62a136ce6071 | |||
10:16 | How to Use API Integration Best Practices Effectively https://medium.com/@tayloroakley/how-to-use-api-integration-best-practices-effectively-134249b92256 | |||
09:52 | Unmasking Bias in AI: The “I Love America” Art Series https://nuclearsamurai.medium.com/unmasking-bias-in-ai-the-i-love-america-art-series-df67a6c1f62c | |||
09:45 | Bedrock Pricing: Large Language Models Review & Benchmark Guide https://medium.com/@getanakin/bedrock-pricing-large-language-models-review-benchmark-guide-cac8415a0132 | |||
09:35 | LangGraph Studio: Visualizing and Testing AI Agents with LangChain https://ai.gopubby.com/langgraph-studio-visualizing-and-testing-ai-agents-with-langchain-9a6fe80d2643 | |||
08:25 | How to Implement LangGraph in Your LangChain Projects https://medium.com/@garysvenson09/how-to-implement-langgraph-in-your-langchain-projects-a9f496987858 | |||
08:23 | How OpenAI’s O1 Series Stands Out Redefining AI Reasoning https://medium.com/@researchgraph/how-openais-o1-series-stands-out-redefining-ai-reasoning-9e499937139e | |||
08:18 | Show HN: We just dropped a 8B alternative of OpenAI GPT-o1 and it's sick https://huggingface.co/Exthalpy/state-0 | |||
07:50 | Native Japanese AI — Challenges and Ideas https://medium.com/@warwick_40536/native-japanese-ai-challenges-and-ideas-9f3bfa7ef91e | |||
07:18 | Zed dev editor — AI assisted coding https://medium.com/@researchgraph/introduction-to-zed-ai-editor-ea169a8f07cc | |||
07:18 | How to Create Effective Prompt Templates for Chatbots https://medium.com/@asakisakamoto02/how-to-create-effective-prompt-templates-for-chatbots-789050650493 | |||
06:57 | Building a Personalized AI Agent Using Qwen2, LoRA, Double Q Learning, RL, Experience Buffers and… https://rabmcmenemy.medium.com/building-a-personalized-ai-agent-using-qwen2-lora-double-q-learning-rl-experience-buffers-and-751ceffbce0e | |||
06:37 | Harnessing LLMs & LlamaIndex for Natural Language Database Queries (Part 1) https://kailashahirwar.medium.com/harnessing-llms-llamaindex-for-natural-language-database-queries-part-1-1061fcd05db3 | |||
06:16 | How to Use API Logging Best Practices for Success https://medium.com/@tayloroakley/how-to-use-api-logging-best-practices-for-success-28981cea37db | |||
05:55 | Mastering Fine-Tuning: Elevating the Performance of Language Models https://medium.com/@rr14datascientist/mastering-fine-tuning-elevating-the-performance-of-language-models-1acaae1dc141 | |||
05:48 | Inside the Multilayer Perceptron (Scope Attention Transformer ) https://medium.com/@fujita.rahmah18/inside-the-multilayer-perceptron-scope-attention-transformer-c874eb594dc8 |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803