index_advisor
WizardLM
index_advisor | WizardLM | |
---|---|---|
5 | 38 | |
1,462 | 7,531 | |
4.4% | - | |
2.8 | 9.4 | |
about 1 month ago | 8 months ago | |
PLpgSQL | Python | |
PostgreSQL License | - |
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index_advisor
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Bloom Filter Indexes in PostgreSQL
pghero and/or https://github.com/supabase/index_advisor
If you want to pay for a saas then pganalyze is like $400 a month for 4 dbs is a pretty good pricing model
- FLaNK AI-April 22, 2024
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Supabase Security Advisor & Performance Advisor
The Supabase Index Advisor is now available inside Supabase Studio. We've integrated the Index Advisor into our existing Query Performance tool so that you can find your slowest queries and check recommendations. As its name suggests, this analyzes your queries and make recommendations to add or remove table indexes.
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Show HN: PostgreSQL Index Advisor
2. Copy/paste the plpgsql file:
https://github.com/supabase/index_advisor/blob/main/index_ad...
We are also developing the Trusted Language Extension with the RDS team, so at some point it should be easier to do this through database.dev:
https://database.dev/olirice/index_advisor
WizardLM
- FLaNK AI-April 22, 2024
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Refact LLM: New 1.6B code model reaches 32% HumanEval and is SOTA for the size
This is interesting work, and a good contribution, but there is no need to mislead people.
[1] https://github.com/nlpxucan/WizardLM
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Continue with LocalAI: An alternative to GitHub's Copilot that runs everything locally
If you pair this with the latest WizardCoder models, which have a fairly better performance than the standard Salesforce Codegen2 and Codegen2.5, you have a pretty solid alternative to GitHub Copilot that runs completely locally.
- WizardCoder context?
- The world's most-powerful AI model suddenly got 'lazier' and 'dumber.' A radical redesign of OpenAI's GPT-4 could be behind the decline in performance.
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Official WizardLM-13B-V1.1 Released! Train with Only 1K Data! Can Achieve 86.32% on AlpacaEval!
(We will update the demo links in our github.)
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GPT-4 API general availability
In terms of speed, we're talking about 140t/s for 7B models, and 40t/s for 33B models on a 3090/4090 now.[1] (1 token ~= 0.75 word) It's quite zippy. llama.cpp performs close on Nvidia GPUs now (but they don't have a handy chart) and you can get decent performance on 13B models on M1/M2 Macs.
You can take a look at a list of evals here: https://llm-tracker.info/books/evals/page/list-of-evals - for general usage, I think home-rolled evals like llm-jeopardy [2] and local-llm-comparison [3] by hobbyists are more useful than most of the benchmark rankings.
That being said, personally I mostly use GPT-4 for code assistance to that's what I'm most interested in, and the latest code assistants are scoring quite well: https://github.com/abacaj/code-eval - a recent replit-3b fine tune the human-eval results for open models (as a point of reference, GPT-3.5 gets 60.4 on pass@1 and 68.9 on pass@10 [4]) - I've only just started playing around with it since replit model tooling is not as good as llamas (doc here: https://llm-tracker.info/books/howto-guides/page/replit-mode...).
I'm interested in potentially applying reflexion or some of the other techniques that have been tried to even further increase coding abilities. (InterCode in particular has caught my eye https://intercode-benchmark.github.io/)
[1] https://github.com/turboderp/exllama#results-so-far
[2] https://github.com/aigoopy/llm-jeopardy
[3] https://github.com/Troyanovsky/Local-LLM-comparison/tree/mai...
[4] https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder
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WizardLM-13B-V1.0-Uncensored
You talking about this? https://github.com/nlpxucan/WizardLM
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What 7b llm to use
The smallest model that is close to competent at code is WizardCoder 15B.. https://github.com/nlpxucan/WizardLM/
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16-Jun-2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct (https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder)
What are some alternatives?
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
llm-humaneval-benchmarks
exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
airoboros - Customizable implementation of the self-instruct paper.
promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
can-ai-code - Self-evaluating interview for AI coders
chat-ui - Open source codebase powering the HuggingChat app
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
Mr.-Ranedeer-AI-Tutor - A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
jsonformer - A Bulletproof Way to Generate Structured JSON from Language Models
azure-search-openai-demo - A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.