Abstract: Some implementations relate to generating a training and/or evaluation dataset with LLM prompts (e.g., derived from user queries) based on a prompt complexity. An input prompt, for example derived from a user query, is received. The input prompt is decomposed into a prompt tree comprising a plurality of nodes. The plurality of nodes comprise: a plurality of leaf nodes corresponding to simple sub-prompts of the input query; a plurality of branch nodes of sub-prompts each corresponding to multiple simple sub-prompts; and a root node corresponding to the input prompt. A prompt complexity is determined based on a path length of the prompt tree. The prompt complexity is compared to a threshold complexity. If the prompt complexity is above the threshold complexity, the input prompt is included in a set of training prompts and/or a set of evaluation prompts.

Abstract: A system for communicating between blockchains on heterogeneous blockchain networks. The system can include a sending blockchain configured to transmit a first message via a sending blockchain protocol, wherein the sending blockchain forms a part of a sending blockchain network. The system can include a sending adapter node configured to receive the first message from the sending blockchain, and translate the first message from the sending blockchain protocol to an adapter protocol. The system can include a receiving adapter node configured to receive the first message from the sending adapter node, and translate the first message from the adapter protocol to a receiving blockchain protocol. The system can include a receiving blockchain configured to receive the first message from the receiving adapter node, and validate the first message, wherein the receiving blockchain forms a part of a receiving blockchain network.

Abstract: A method for assisting wallet providers in regulatory compliance for blockchain transactions includes: receiving, by a receiver of a processing server, a new blockchain transaction from a first computing device, the new blockchain including at least a destination address associated with a blockchain wallet as a recipient for the new blockchain transaction; generating, by a processor of the processing server, a reference identifier for the new blockchain transaction; identifying, by the processor of the processing server, a profile for the blockchain wallet based on the destination address; transmitting, by a transmitter of the processing server, the reference identifier to the first computing device; and transmitting, by the transmitter of the processing server, a notification message to a second computing device, the notification message including at least the reference identifier and data associated with the blockchain wallet.

Abstract: A method of distributing geolocation-influenced digital collectables includes instructing the creation of a plurality of first cryptographic tokens representing digital assets with at least one attribute configured to evolve over time; receiving a request to lock the evolution of the digital asset; receiving an indication of a geolocation of the token holder at the time the request to lock is received; and generating, based at least in part on the geolocation, a second cryptographic token having at least one attribute derived from the evolutionary state of the digital asset defined by the first cryptographic token at the time the request to lock was received.

Abstract: Implementations relate to a method implemented by one or more processors, the method including: receiving natural language (NL) based input associated with a client device; generating, using a large language model (LLM) and based on processing the NL based input, LLM output; determining, based on the LLM output, a sequence of LLM responses, the sequence of LLM responses including at least one intermediate LLM response and a final LLM response. In some implementations, the method may further include causing the final LLM response to be rendered at the client device. In additional or alternative implementations, the method may further include storing, as an instance of training data for fine-tuning the LLM or an additional LLM, the NL based input along with the final LLM response.

Abstract: Delivery systems for delivering an aortic repair device to treat a diseased portion of the aorta of a patient at or near the aortic arch and associated devices and methods are disclosed herein. A delivery system configured in accordance with embodiments of the present technology can include an outer catheter, an inner catheter assembly extending at least partially through the outer catheter, a handle, a tip capture mechanism configured to releasably secure an end portion of the aortic repair device, and a release wire actuatable to release the end portion from the tip capture mechanism. The handle can be actuated to retract the outer catheter relative to the inner catheter assembly to deploy the aortic repair device. The handle can also be actuated to advance a portion of the inner catheter assembly relative to the outer catheter to reorient and position the end portion of the aortic repair device.

Abstract: The present disclosure relates to compositions and methods for treating Sanfilippo syndrome (also known as Sanfilippo disease type D, Sanfilippo D, mucopolysaccharidosis type IIID, MPS IIID). The method can entail injecting to the spinal fluid of a MPS IIID patient an effective amount of a composition comprising a recombinant human acetylglucosamine-6-sulfatase (GNS) protein comprising the amino acid sequence of SEQ ID NO: 1 or an amino acid sequence having at least 90% sequence identity to SEQ ID NO: 1 and having the enzymatic activity of the human GNS protein. The composition can be provided in an artificial cerebrospinal fluid. About 1 mg to about 100 mg of the recombinant polypeptide may be administered to the patient once every 2 weeks to 6 months.

Abstract: The present disclosure relates to compositions and methods for treating Sanfilippo syndrome (also known as Sanfilippo disease type D, Sanfilippo D, mucopolysaccharidosis type IIID, MPS IIID). The method can entail injecting to the spinal fluid of a MPS IIID patient an effective amount of a composition comprising a recombinant human acetylglucosamine-6-sulfatase (GNS) protein comprising the amino acid sequence of SEQ ID NO: 1 or an amino acid sequence having at least 90% sequence identity to SEQ ID NO: 1 and having the enzymatic activity of the human GNS protein. The composition can be provided in an artificial cerebrospinal fluid. About 1 mg to about 100 mg of the recombinant polypeptide may be administered to the patient once every 2 weeks to 6 months.

Abstract: The present compositions and methods relate to a beta-mannanase from Bacillus hemicellulosilyticus, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Bacillus hemicellulosilyticus, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Actinosynnema mirum, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Paenibacillus pabuli, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Paenibacillus macerans, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Mahella australiensis, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Paenibacillus polymyxa, polynucleotides encoding the beta-mannanase, and methods of making and/or using thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Streptococcus gallolyticus, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Paenibacillus kribbensis, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Bacillus hemicellulosilyticus, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Bacillus licheniformis, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).

Abstract: The present compositions and methods relate to a beta-mannanase from Thermobifida fusca, polynucleotides encoding the beta-mannanase, and methods of make and/or use thereof. Formulations containing the beta-mannanase are suitable for use in hydrolyzing lignocellulosic biomass substrates, especially those comprising a measurable level of galactoglucomannan (GGM) and/or glucomannan (GM).