Some updates to the PAL chain From Nick Furlotte, includes the ability to specify global/locals, and then also return intermediate steps Docs: https://
langchain.readthedocs.io/en/latest/modu
les/chains/examples/pal.html#intermediate-steps
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AI
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PAL Chain Updates: Global Locals and Intermediate Steps
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NGram Example Selector for LangChain Prompt Engineering
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ngram example selector Adding to the arsenal of existing example selectors, @seanspriggens added one based on ngram overlap. Select the closest examples by ngram overlap up to a threshold! Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/prompts/examples/example_selectors.html#ngram-overlap-exampleselector
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New Beam Deployment Template for LLM Chains and Agents
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New deployment template for http://
beam.cloud Lot's of people have been asking for easiest way to deploy chains/agents, and @mernit added a new deployment template for Beam! https://
langchain.readthedocs.io/en/latest/depl
oyments.html#beam
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LangChain from_string Method Simplifies LLMChain Construction
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Usability is everything, and @brucehammer came up with a great idea for making it easier to construct LLMChains. A `from_string` method parses out the variables and auto-creates a prompt Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/chains/generic/llm_chain.html#from-string
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Instruct Embeddings: Task-Tailored Text Embeddings from HuggingFace
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@huggingface Instruct embeddings Instruct embeddings are from an instruction-finetuned embedding model that can generate text embeddings tailored to any task, *just by providing the task description* A joint effort by seanaedmiston and @EnoReyes https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/embeddings.html#instructembeddings
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LangChain 0.0.76 Release: Instruct Embeddings and New Features
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Another big release! 0.0.76 main features: @huggingface Instruct embeddings (seanaedmiston, @EnoReyes
) ngram example selector (
@seanspriggens
) Other features include a new deployment template, easier way to construct LLMChain, and updates to PALChain Lets dive in -
Cerebras Andromeda: AI Supercomputer with 13.5 Million Cores
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@GradFlowTech published an overview of specialized hardware for AI and mentioned: "[Cerebras' Andromeda], an AI supercomputer boasting 13.5 million cores and the ability to deliver over 1 exaflop of AI compute power." Read their full article here:
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Yann LeCun’s Path Towards Autonomous Machine Intelligence Research
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#TenstorrentTop10 research paper series: A Path Towards Autonomous Machine Intelligence by Yann LeCun #autonomous #machinelearning #Training
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Midjourney creators lack genuine philosophical insight
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to be clear…i think midjourney is pretty cool but it's just a pitch perfect example of how these dudes like have a bong rip thought pop into their head and then treat it like they're a philosopher king who has seen through the space time continuum and touched the face of truth
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PADL: Language-Directed Physics-Based Character Control
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PADL: Language-Directed Physics-Based Character Control Juravsky et al.: https://
arxiv.org/abs/2301.13868 #Artificialintelligence #DeepLearning #ReinforcementLearning