LLM News and Articles

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Wednesday, 2024-08-07
21:12Uma Arquitetura de Agentes baseada em Grafos para a Resolução de Tarefas Complexas com LLMs
20:27Giving Generative AI Access to Real-Time Knowledge with the Perplexity API
20:15Andrej Karpathy on X: RLHF is just barely RL
19:45Can a Large Language Model Recognize Itself?
19:32Mistral Agents
19:19Summarise New York Times news using Gemini.
19:10Medical-Specific Language Model: PMC-LLaMA
19:06So you want to Run the LLM model on your pc/mac.
19:01PromptPoet: Revolutionizing LLM Prompt Design at Character.ai
18:50OWASP Top Ten Large Language Model Vulnerabilities, Part 2
18:46Mistral – Alpha Release of Agents
18:17Think Like a Human, Search Like a Pro: The MindSearch Revolution
18:07Off Goes The CA
17:59Customizing PaliGemma: A Guide to Fine Tuning for Targeted Applications
17:56LangChain: Building a Custom Shell/Bash Tool Agent for Windows OS
17:54Language model can listen while speaking
17:48From Zero to Hero (LLMs Edition): Episode 4. Building a Chatbot with LangChain
17:27How to Choose a Suitable LLM for a Business Use Case
17:22Sam Altman teases "Project Strawberry" (formerly Q*)
17:11OpenAI's Talent Retention Woes
17:01Open-Sourcing LLM App Starter Templates
16:38Automating Internal Writing Processes with Generative AI
16:31Introducing Structured Outputs and ModelBox’s Support for GPT-4o-2024–08–06 inference
16:26WTF Is AGI and Why is it Taking Over AI
16:25Retrieval-Augmented Generation (RAG) with LangChain and FAISS
16:16LangGraph v0.2: Increased customization with new checkpointer libraries
15:49Agentic Prompting for LLMs: The Hype It Deserves
15:44LLMs Have Ushered in a New Era of the Software Development Lifecycle (SDLC)
15:26Eliminate RAG Hallucinations with a Single API
15:21Creating a Natural Language UI like Jarvis in Iron Man: How Gen AI and LLMs Can Help
15:14Enhancing LLMs Intelligence with Advanced Knowledge Graphs using GraphRAG
14:44How to Use Structured Outputs with GPT-4o-2024–08–06
14:36Chain-of-Thought — All the Language Models are Just Extremely Intelligent Toddlers
14:29How to query relational databases with connected tables using a large language model
14:24Improving Performance Time for LLMs in Windows
14:16Large Language Models, Transformer Architecture, and Text Generation
14:12Film discovery — a simple RAG example
14:10ChatGPT Alternatives — Exploring Free, Open-Source and Affordable AI Models
14:01Lean, Mean, Green Machines: Optimizing AI for Energy Efficiency
13:49Il prompt engineering: la chiave per dialogare efficacemente con l’AI
13:43Mistral NeMo vs Llama 3.1 8B: A Comparative Analysis
13:37Develop and Deploy a Serverless RAG Solution with Amazon Bedrock agents, Knowledge Base and…
12:54Simple RAG with LlamaIndex, Qdrant & GPT-4o Mini
12:25Introducing Calorie GPT: Track your Calories using LLMs — Part 1
12:076 Lessons From Llama 3
12:0310 Intersections of AI and Web Development
11:39Text to imaging in a state of FLUX?
11:32How to Automate AI to Post Facebook Posts: Developing Guide
11:32VERSES’ Latest Research Advances Beyond GenAI With RGM Conceptual Modeling for Faster, Cheaper AI
11:10How to Maximize Business Intelligence with Large Language Models
10:16Revolutionizing Workflows: How LLM Agents Streamline Repetitive Tasks with Security and Efficiency
09:50Fine-tuning or RAG ? What’s your first move in LLM optimization?
09:47Stop Wasting LLM Tokens
09:41Create a Synthetic Dataset Using Llama 3.1 405B for Instruction Fine-Tuning
09:32Develop Forever Companion AI: Your Virtual Support
09:29Not Waving But Mass-Producing
08:54Develop and Deploy a Serverless RAG Solution with Amazon Bedrock agents, Knowledge Base and…
07:46Exploring Retrieval-Augmented Generation (RAG): Understanding, Evaluating, and Applying the Hybrid…
07:36BeyondLLM 0.2.2 Release: Evaluate Langchain RAG pipeline, Memory and Weaviate support
07:19Building RAG App Using Open-Source Cloud-Hosted LLMs with MyScaleDB and BentoML
07:12Engaging Citizens Like Never Before with AI Magic!
06:31The State of Customer Service in 2024: Key Points to Remember for a Generative AI Future
05:37Optimizing LLM Apps: Practical Prompt Engineering Tips
05:35Principles of Prompt Engineering
04:54Meta presents Self-Taught Evaluators: A New AI Approach that Aims to Improve Evaluators without Human Annotations and Outperforms Commonly Used LLM Judges Such as GPT-4
04:37LLM evaluation metrics — BLEU, ROGUE and METEOR explained
03:57OpenAI’s Talent Exodus: A Sign of Shifting Priorities in AI Development
03:57OpenAI’s Talent Exodus: A Sign of Shifting Priorities in AI Development
03:19Introducing PlugLLM: Simplify Your LLM Integration with a Unified API
03:05Self-Taught Evaluators: improving LLM-as-Judge evaluators without human annotations
01:54OpenAI: Structured Outputs in the API
01:50Pudgy Penguins Search & Discovery AI Chatbot now Live
01:49OpenAI has released the No. 1 feature developers have been desperate for
01:32QLoRA: Revolutionizing Machine Learning with Quantized Efficiency
00:36Iterative RAG Explained: Methods and Practical Considerations
Tuesday, 2024-08-06
23:31Llama 3: Meta AI’s Multilingual and Multimodal Marvel
22:50Zero-shot ECG classification using multimodal learning and test-time CKEPE
22:34When LLM agents can do a task, they can often do so at a fraction of human cost
22:25The Llama 3 Herd of Models
22:22Local RAG with Llama3-instruct (Ollama)
22:13Advanced Retrieval Techniques in LangChain to improve the efficiency of RAG systems
21:47Anthropic Embeddings
21:45The Future of Human-Computer Interaction. 2024 and beyond!!
21:42Key differences between prompt injection and jailbreaking
21:27Monitoring and Evaluation of LLM Systems
21:18PyBench: Evaluating LLM Agent on various real-world coding tasks
21:16Implementation and Evaluation of RAG using Langchain and RAGAS
21:06Symbolic Knowledge Distillation of Large Language Models
20:56Knowledge Distillation and its types
20:44MILESTONES IN KNOWLEDGE DISTILLATION AND LARGE LANGUAGE MODELS
20:33Understanding LangChain-Part 2
20:12Exploring Google’s New Gemini 1.5 Pro Experimental 0801: The Most Powerful Model to Date
19:47E²-LLM: Training long context LL
19:35A formula to pick the most cost-effective model
18:31Add SALT to Your AI Prompts
18:28AlphaProof: When AI Crashed the Math Party
18:19How to Use RouteAgent: A Guide to Intelligent AI Task Routing
18:15Building Intelligent Agents from Scratch: A Journey into LLM-Powered Autonomy
18:15Comparing Chroma and FAISS involves examining their features, use cases, and performance.
17:30Beat GPT-4o at Python by searching with 100 dumb LLaMAs
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803