LLM News and Articles
Sunday, 2024-09-22 | ||||
13:14 | Llamaberry: Unlocking Advanced Chain of Thought in AI Reasoning https://medium.com/@odhitom09/llamaberry-unlocking-advanced-chain-of-thought-in-ai-reasoning-85ac71f0e839 | |||
13:05 | OpenAI O1 vs. Recent LeetCode Questions https://old.reddit.com/r/LocalLLaMA/comments/1fmketf/openai_o1_vs_recent_leetcode_questions/ | |||
12:52 | The Rise of Personalized Large Language Models: A New Frontier in AI https://medium.com/@ombuna2023/the-rise-of-personalized-large-language-models-a-new-frontier-in-ai-94d3e62816a0 | |||
12:51 | LlamaParse Premium https://medium.com/@sudarshan-koirala/llamaparse-premium-a463c5f9f7af | |||
12:44 | Show HN: Reverse Engineer Any GPT https://mindpal.space/tool/reverse-prompt-engineer | |||
12:40 | How Do LSTMs Remember What Matters? A Simple Guide for Everyone https://medium.com/@saishkajrolkar/how-do-lstms-remember-what-matters-a-simple-guide-for-everyone-25f64a93aece | |||
12:30 | Example LLM: GPT-2 with code https://premvishnoi.medium.com/example-llm-gpt-2-with-code-3a72ed641fc8 | |||
12:25 | How to Use NumPy with LangChain for Data Analysis https://medium.com/@garysvenson09/how-to-use-numpy-with-langchain-for-data-analysis-0c0a65b0b591 | |||
11:47 | Fine-Tuning Large Language Models: Strategies, Challenges, and Best Practices https://medium.com/ai-native-publication/fine-tuning-large-language-models-strategies-challenges-and-best-practices-5cbf6dd1b8de | |||
11:27 | Quantization: Run Memory efficient LLMs https://medium.com/@jcarun28/quantization-run-memory-efficient-llms-6afcdd8ff835 | |||
11:18 | How to Use Supabase Select to Exclude Fields Easily https://medium.com/@asakisakamoto02/how-to-use-supabase-select-to-exclude-fields-easily-5540338826a5 | |||
11:06 | AI in Coding: Using LLMs to Assist, Not Replace Developers https://medium.com/@rajesh.ece2eie/ai-in-coding-using-llms-to-assist-not-replace-developers-b7aae01a816a | |||
11:04 | Building a Simple Text Classifier Using Large Language Models https://medium.com/@palashm0002/building-a-simple-text-classifier-using-large-language-models-1a6acadcee7d | |||
10:17 | Multi-Agent LLMs: Unlocking New Possibilities Beyond ChatGPT and Gemini https://srinath-sridharan.medium.com/multi-agent-llms-unlocking-new-possibilities-beyond-chatgpt-and-gemini-600feb1ee4f3 | |||
10:16 | How to Use Cloud API Integration for Seamless Connectivity https://medium.com/@tayloroakley/how-to-use-cloud-api-integration-for-seamless-connectivity-553e2d531adc | |||
10:16 | DSPy — Automatically Update LLM’s Prompt https://linlisa0601.medium.com/dspy-automatically-update-llms-prompt-59de3fd229e6 | |||
09:49 | You Can Try Uncensored Qwen 2.5–32B Model Here: https://medium.com/cool-devs/you-can-try-uncensored-qwen-2-5-32b-model-here-32cdead5918d | |||
09:26 | How Entity Swap Adversarial Attacks Can Disrupt AI Model. https://medium.com/@360Security/how-entity-swap-adversarial-attacks-can-disrupt-ai-model-815de9babe87 | |||
08:48 | Quick Start Guide to LayoutLMv3 on Google Colab: Step-by-Step Instructions https://bigdreamcoder.medium.com/quick-start-guide-to-layoutlmv3-on-google-colab-step-by-step-instructions-beea6c8b5f97 | |||
08:40 | Meta's RISC-V based inference recommendation CPU for Facebook and Instagram https://www.techradar.com/pro/meta-showcases-the-hardware-that-will-power-recommendations-for-facebook-and-instagram-low-cost-risc-v-cores-and-mainstream-lpddr5-memory-are-at-the-heart-of-its-mtia-recommendation-inference-cpu | |||
08:31 | Retrieved Augmented Generation (RAG) and Fine Tuning. https://medium.com/@barbaraosorio/retrieved-augmented-generation-rag-and-fine-tuning-1e9412524b11 | |||
08:25 | How to Integrate Niubaichuan443 with LangChain Easily https://medium.com/@garysvenson09/how-to-integrate-niubaichuan443-with-langchain-easily-789bf2d30400 | |||
07:55 | How streaming LLM APIs work https://til.simonwillison.net/llms/streaming-llm-apis | |||
07:52 | How Reinforcement Learning Can Improve Language Models https://emaddehnavi.medium.com/how-reinforcement-learning-can-improve-language-models-b633641e28e4 | |||
07:18 | How to Use Supabase Group By Query for Data Analysis https://medium.com/@asakisakamoto02/how-to-use-supabase-group-by-query-for-data-analysis-c557a97648c6 | |||
07:05 | LangChain: Büyük Dil Modelleriyle Etkileşimi Kolaylaştıran Çerçeve https://medium.com/@nrmnbabalik/langchain-b%C3%BCy%C3%BCk-dil-modelleriyle-etkile%C5%9Fimi-kolayla%C5%9Ft%C4%B1ran-%C3%A7er%C3%A7eve-e25d71a7ee05 | |||
07:01 | Why I Realized Generative AI Wasn’t the Answer in Early 2023 https://medium.com/@varmish.93/why-i-realized-generative-ai-wasnt-the-answer-in-early-2023-a09f5faa72ce | |||
06:56 | Reflection: is AI truly sustainable today? https://andreabelvedere.medium.com/reflection-is-ai-truly-sustainable-today-ad7b766f0718 | |||
06:51 | The Challenges of RAG Evaluation — A journey exploring 35+ relevant NLP/LLM papers from 2016–2024 https://medium.com/@saurad44/the-challenges-of-rag-evaluation-a-journey-exploring-35-relevant-nlp-llm-papers-from-2016-2024-63bf421ff91a | |||
06:16 | Transfer learning using Pytorch https://deasadiqbal.medium.com/transfer-learning-using-pytorch-14b42d07f8b2 | |||
06:16 | How to Use Your Insightly API Key Effectively https://medium.com/@tayloroakley/how-to-use-your-insightly-api-key-effectively-461ed67a8f74 | |||
06:06 | How to Acquire Top AI Prompting Skills Fast https://medium.com/@yogeshhuja/how-to-acquire-top-ai-prompting-skills-fast-4a1624bd4f97 | |||
05:46 | Let’s write an AI Keeper for Call of Cthulhu! — Part II: Making tools https://lmy.medium.com/lets-write-an-ai-keeper-for-call-of-cthulhu-part-ii-making-tools-6b1346e8fe96 | |||
05:45 | Claude 3 Pricing Review: Benchmarks and Usage Insights https://medium.com/@getanakin/claude-3-pricing-review-benchmarks-and-usage-insights-3918e928a774 | |||
05:37 | Jony Ive confirms he's working on a new device with OpenAI https://www.theverge.com/2024/9/21/24250867/jony-ive-confirms-collaboration-openai-hardware | |||
05:11 | Tips To Clean The Outputs of CKIP-Transformer https://aronhack.medium.com/tips-to-clean-the-outputs-of-ckip-transformer-5ae9d691e573 | |||
04:25 | How to Use Milvus as a Vector Database in LangChain Guide https://medium.com/@garysvenson09/how-to-use-milvus-as-a-vector-database-in-langchain-guide-f06877ddde99 | |||
03:58 | Defense Mechanisms for LLM Applications https://medium.com/@yasindas21/defense-mechanisms-for-llm-applications-5e9a36318775 | |||
03:49 | The Rise of On-Device AI Processing and SLMs https://medium.com/@jaskaranbhatia/the-rise-of-on-device-ai-processing-and-slms-c3770e2f5585 | |||
03:18 | How to Use Supabase Filter Queries for Efficient Data Retrieval https://medium.com/@asakisakamoto02/how-to-use-supabase-filter-queries-for-efficient-data-retrieval-a1103e73b9c0 | |||
03:15 | OpenAI just unleashed an alien of extraordinary ability https://www.understandingai.org/p/openai-just-unleashed-an-alien-of | |||
02:16 | How to Create Tasks in Asana with the Asana API in Python https://medium.com/@tayloroakley/how-to-create-tasks-in-asana-with-the-asana-api-in-python-3deacfd10468 | |||
01:45 | Claude 3 Opus Pricing and Review: LLM Benchmarks & Usage https://medium.com/@getanakin/claude-3-opus-pricing-and-review-llm-benchmarks-usage-899493af30ca | |||
01:19 | Have we reached Peak Human? https://medium.com/predict/have-we-reached-peak-human-d6b1c2d9c58a | |||
00:25 | How to Handle MHTML Files in LangChain Easily https://medium.com/@garysvenson09/how-to-handle-mhtml-files-in-langchain-easily-200782b8f128 | |||
Saturday, 2024-09-21 | ||||
23:18 | How to Handle Supabase Field Is Null Errors Effectively https://medium.com/@asakisakamoto02/how-to-handle-supabase-field-is-null-errors-effectively-9bd078120fd2 | |||
23:13 | The Evolution of LLMs: From GPT to ChatGPT and Beyond https://medium.com/@AIMom/the-evolution-of-llms-from-gpt-to-chatgpt-and-beyond-45550e1f617a | |||
23:00 | Deploy Large Language Model in Oracle Cloud using NVIDIA Triton Server https://medium.com/@gautam.karmakar/build-and-deploy-large-language-model-in-oracle-cloud-using-nvidia-triton-server-dcafc6d1694c | |||
22:22 | Inference.net https://www.inference.net/ | |||
22:16 | How to Use an Invoicing API to Streamline Billing Process https://medium.com/@tayloroakley/how-to-use-an-invoicing-api-to-streamline-billing-process-8258d91ff56f | |||
21:50 | Introduction to LLMs: What They Are and Why They Matter https://medium.com/@AIMom/introduction-to-llms-what-they-are-and-why-they-matter-9f791e9c5e52 | |||
21:49 | [AWPortrait-FL] High-Quality Realistic Portrait Model Based on flux.1-dev https://medium.com/@01coder/awportrait-fl-high-quality-realistic-portrait-model-based-on-flux-1-dev-9c9e8ab3be64 | |||
21:45 | Claude 3 Haiku: Pricing, Benchmarks, and Usage Guide https://medium.com/@getanakin/claude-3-haiku-pricing-benchmarks-and-usage-guide-cfd583abffef | |||
20:57 | Breakthrough: Running the New King of Open-Source LLMs QWen2.5 on an Ancient 4GB GPU https://ai.gopubby.com/breakthrough-running-the-new-king-of-open-source-llms-qwen2-5-on-an-ancient-4gb-gpu-e4ebf4498230 | |||
20:51 | Query Your PostgreSQL Database with LangChain and Llama 3.1 : Exploring LLMs — 2 https://medium.com/@zuhayr.codes/query-your-postgresql-database-with-langchain-and-llama-3-1-exploring-llms-2-1138f17b3231 | |||
20:25 | How to Split Markdown Documents in LangChain Easily https://medium.com/@garysvenson09/how-to-split-markdown-documents-in-langchain-easily-b28c79efa2ba | |||
20:10 | Boosting k-NN Retrieval with #NUDGE: Efficient Non-Parametric Fine-Tuning for Embeddings https://blog.gopenai.com/boosting-k-nn-retrieval-with-nudge-efficient-non-parametric-fine-tuning-for-embeddings-393df0d3a1c6 | |||
19:18 | How to Delete a Storage Folder in Supabase Easily https://medium.com/@asakisakamoto02/how-to-delete-a-storage-folder-in-supabase-easily-cd83c5a21390 | |||
18:51 | Personalizing LLMs https://ai.gopubby.com/personalizing-llms-c46efd062c77 | |||
18:42 | The Evolution of AI: Unpacking Foundational Models https://medium.com/@tanishk.2132004/the-evolution-of-ai-unpacking-foundational-models-1db401426b68 | |||
18:16 | How to Create Compelling Product Profiles for Carlos Armas https://medium.com/@tayloroakley/how-to-create-compelling-product-profiles-for-carlos-armas-1b48223fe355 | |||
17:45 | Claude 2 Pricing and Review: Benchmarks and Usage Guide https://medium.com/@getanakin/claude-2-pricing-and-review-benchmarks-and-usage-guide-1a5624b2d76e | |||
17:36 | AI vs Humans: Who is better at Summarizing Documents? https://medium.com/design-bootcamp/ai-vs-humans-who-is-better-at-summarizing-documents-fa0680c97858 | |||
17:32 | Enhancing Image Intelligence with GPT-4o, RAG and Function calling https://medium.com/@milenppavlov/enhancing-image-intelligence-with-gpt-4o-rag-and-function-calling-bcd39da1fc69 | |||
17:00 | Prompting & Prompt Engineering https://prachi-gopalani.medium.com/prompting-prompt-engineering-e367c6290b21 | |||
16:56 | Evaluating Large Language Models (LLM) https://prachi-gopalani.medium.com/evaluating-large-language-models-llm-21803c09c869 | |||
16:50 | Top 10 Questions Asked in Interview for GenAI https://prachi-gopalani.medium.com/top-10-questions-asked-in-interview-for-genai-25e61bf56ee2 | |||
16:42 | Unlocking the Power of Llama 3.1: https://medium.com/@azamsaif58757/unlocking-the-power-of-llama-3-1-b87a5d820a43 | |||
16:25 | How to Set Max Output for Local Ollama in Langchain https://medium.com/@garysvenson09/how-to-set-max-output-for-local-ollama-in-langchain-c745c65ab6ad | |||
16:21 | Agentic AI: The Next Frontier https://medium.com/@social_87723/agentic-ai-the-next-frontier-1f977df33f22 | |||
16:17 | Scaling LLM Test-Time Compute Optimally Can Be More Effective Than Scaling Model Parameters https://s-hash-wat.medium.com/scaling-llm-test-time-compute-optimally-can-be-more-effective-than-scaling-model-parameters-9986235f50c4 | |||
16:10 | Decoding Rotary Positional Embeddings (RoPE): The Secret Sauce for Smarter Transformers https://medium.com/@DataDry/decoding-rotary-positional-embeddings-rope-the-secret-sauce-for-smarter-transformers-193cbc01e4ed | |||
15:48 | Break down Buffer-of-Thought — A way to understand human mind https://medium.com/@vincentlee007/break-down-buffer-of-thought-a-way-to-understand-human-mind-fa69af120f4a | |||
15:43 | THE RISE OF LLM: A SIGNIFICANT SHIFT IN AI https://medium.com/@vigneshvicky09.04/the-rise-of-llm-a-significant-shift-in-ai-1946524a8f84 | |||
15:23 | STORM: La Migliore AI per Fare Ricerche https://digitalhumanism.medium.com/storm-la-migliore-ai-per-fare-ricerche-8868a3fd98dd | |||
15:18 | How to Batch Delete Records in Supabase Effortlessly https://medium.com/@asakisakamoto02/how-to-batch-delete-records-in-supabase-effortlessly-5c98e398eeed | |||
15:11 | The Future of AI: Co-Learning and Memory-Driven Agents https://medium.com/@ianishgoswami/the-future-of-ai-co-learning-and-memory-driven-agents-d8c9aea96ce7 | |||
14:34 | How to Prompt an LLM to Generate a Research Knowledge Graph (KG) for Complex Scientific Domains https://medium.com/@jenlindadsouza/how-to-prompt-an-llm-to-generate-a-research-knowledge-graph-kg-for-complex-scientific-domains-2447fe8ff081 | |||
14:26 | Understanding Text-to-Vector Representation: From Tokenization to Embeddings https://medium.com/@AllenShaing/understanding-text-to-vector-representation-from-tokenization-to-embeddings-b59dfdabbbae | |||
14:16 | How to Use Box API Key for Seamless Integration https://medium.com/@tayloroakley/how-to-use-box-api-key-for-seamless-integration-0946a227aef6 | |||
14:13 | Uma introdução aos Large Language Models https://nelsonfrugeri-tech.medium.com/uma-introdu%C3%A7%C3%A3o-aos-large-language-models-7fe107201313 | |||
13:47 | Ollama e a Inferência em Modelos de Linguagem: Explorando a Otimização com o Modelo Gemma 2 9B https://medium.com/@rgoliveira.ti/ollama-e-a-infer%C3%AAncia-em-modelos-de-linguagem-explorando-a-otimiza%C3%A7%C3%A3o-com-o-modelo-gemma-2-9b-853b8b69f591 | |||
13:45 | Claude 2 API Pricing and Large Language Models Review https://medium.com/@getanakin/claude-2-api-pricing-and-large-language-models-review-1acc8cc79304 | |||
13:23 | FalconMamba: First strong attention-free 7B model https://medium.com/@amanatulla1606/falconmamba-first-strong-attention-free-7b-model-cd15c389eff3 | |||
13:17 | LLM and their real world applications in Future https://medium.com/@vsurya627/llm-and-their-real-world-applications-in-future-51acf312b525 | |||
12:42 | 30 Generative AI One-Liners Every Programmer Should Know https://medium.com/@narenderbeniwal1234/30-generative-ai-one-liners-every-programmer-should-know-3c3860ec9174 | |||
12:37 | OpenAI ChatGPT4 o1 New Model: What You Need to Know https://medium.com/@tomskiecke/openai-chatgpt4-o1-new-model-what-you-need-to-know-61a9404581c7 | |||
12:34 | Unlock the Power of Structured Output with GPT-4o https://medium.com/@vincentlambert0/unlock-the-power-of-structured-output-with-gpt-4o-6c8ca08d9006 | |||
12:32 | Understanding Retrieval-Augmented Generation (RAG) https://medium.com/@sdc5671/understanding-retrieval-augmented-generation-rag-3302dbafd79d | |||
12:25 | How to Use Local LLMs with LangChain for Effective Apps https://medium.com/@garysvenson09/how-to-use-local-llms-with-langchain-for-effective-apps-2be79719d885 | |||
12:18 | Diffusion-Based Object Fusion Here’s what I did after 3 weeks playing with ComfyUI https://medium.com/technology-hits/diffusion-based-object-fusion-heres-what-i-did-after-3-weeks-playing-with-comfyui-6d4bdcd1ea22 | |||
12:08 | Ollama's latest release just dropped https://medium.com/@thomas_reid/ollamas-latest-release-just-dropped-d55990341fed | |||
11:58 | Self-Talking Portfolio: Integrating a LLM-Powered Chatbot into Your Portfolio https://medium.com/@krishnaaryaveer/self-talking-portfolio-integrating-a-llm-powered-chatbot-into-your-portfolio-61427cbd686e | |||
11:52 | Forget ChatGPT: why researchers now run small AIs on their laptops https://www.nature.com/articles/d41586-024-02998-y | |||
11:39 | Unlocking AI Secrets: The Power of Principled Questioning for LLaMA and GPT https://medium.com/@programmerraja/unlocking-ai-secrets-the-power-of-principled-questioning-for-llama-and-gpt-02f695285345 | |||
11:25 | Is AI Leading to Brain Atrophy? The Hidden Costs of Letting Machines Think for Us https://medium.com/swlh/is-ai-leading-to-brain-atrophy-the-hidden-costs-of-letting-machines-think-for-us-2db2f09afe58 | |||
11:18 | How to Host Streamlit with Docker and Cognito on AWS https://medium.com/@asakisakamoto02/how-to-host-streamlit-with-docker-and-cognito-on-aws-5826bcf80df9 | |||
10:19 | “Slash Your RAG Costs by 75%: The Ultimate Guide to Prompt Compression!” https://medium.com/@sarayavalasaravikiran/slash-your-rag-costs-by-75-the-ultimate-guide-to-prompt-compression-61d3fa84108e | |||
10:16 | How to Understand API Response Codes for Better Development https://medium.com/@tayloroakley/how-to-understand-api-response-codes-for-better-development-4326b5779f95 | |||
10:07 | PR: Training Language Models to Self-Correct via Reinforcement Learning https://medium.com/@kaige.yang0110/pr-training-language-models-to-self-correct-via-reinforcement-learning-e531f993302e |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803